Senior Engineer jobs at Etsy

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. Salary Range: $204,000.00 - $240,000.00 What's the role? Etsy is looking for a passionate Staff Software Engineer to help us enable data-driven learning and decision-making for our Experimentation initiative. Our initiative empowers teams across Etsy to run fast, trustworthy, and scalable experiments - by laying the foundation for how we test ideas, measure impact, and continuously improve our customer experience. This is a high-impact opportunity to influence the technical direction of experimentation at Etsy, which affects feature development across the company. We're looking for someone who thrives in collaborative environments, challenges the status quo, and is a creative problem solver. Additionally, we are looking for someone who embodies Etsy's blameless engineering culture, as we value clear communication, honest feedback, and empathy as the foundation for how we work together and get things done. This is a full-time position reporting to the Engineering Manager, Experimentation. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy's Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here. What's this team like at Etsy You would join the Experimentation Orchestration team, which focuses on making experiment setup simple, intuitive, and reliable. We build the core services, APIs, and tools that help teams configure and launch experiments with confidence. Whether it's feature flagging, observability, traffic allocation, or ensuring a consistent user experience, our work sits at the heart of a seamless experimentation workflow. Our mission is to make testing new ideas effortless - so teams can move faster, learn more, and build better products for our buyers and sellers. What does the day-to-day look like? Partner with engineers, analysts, and product managers - both within and beyond the Experimentation initiative - to improve Etsy's experimentation platform. Your work will focus on experiment configuration, orchestration, and event logging. Take initiative to lead, design, and implement solutions that keep our platform at the forefront of industry standards - and ultimately a reference point for experimentation excellence. Mentor and uplevel others within the team and across Etsy to help them grow as software engineers. Advocate for experimentation best practices across engineering teams and contribute to a strong culture of learning and continuous improvement. Play a key role in driving technical and product direction through thoughtful decision-making and collaboration. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualities that will help you thrive in this role are You have hands-on experience with A/B testing frameworks and experimentation workflows. You're excited about full-stack development, particularly in the context of building experimentation platforms. You have experience providing technical leadership and mentoring others to grow in their craft. You've built reliable, scalable systems and know how to balance long-term vision with practical delivery. You write clean, testable code - and help others do the same - in one or more of the following languages: PHP, Python, or Java. You're proficient with MySQL (or similar relational databases) and experienced in designing data models that support robust, scalable systems. You have experience with cloud platforms such as Google Cloud Platform, AWS, or Azure. You're familiar with CI/CD tools and practices that support high-quality, rapid software delivery. You're familiar with containerization and orchestration tools like Docker and Kubernetes. You're familiar with monitoring and alerting systems, such as Prometheus and Grafana. You're comfortable using Git and understand different branching strategies. You're comfortable working in Linux-based environments and know your way around the command line. Helpful, but Not Required Familiarity with front-end technologies, such as React. Experience with data warehousing (e.g. BigQuery) and ETL processes, using big data frameworks such as Kafka and Spark and orchestration tools such as Airflow. Additional Information What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

Interested in building something new? Join the Amazon Autos team on an exhilarating journey to redefine the vehicle shopping experience. This is an opportunity to be part of the Amazon's new business ventures. Our goal is to create innovative automotive discovery and shopping experiences on Amazon, providing customers with greater convenience and a wider selection. You'll work in a creative, fast-paced, and entrepreneurial environment at the center of Amazon's innovation.We're looking for a talented Sr.Front-End Engineer to lead UI development, collaborate with product managers, UX designers, UX researchers , Scientists and SDEs to design, develop, and test innovative automotive-shopping experiences for our customers. You will enjoy a fast-paced environment where you can obsess over customers by creating intuitive customer journey in amazon.com and mobile apps. If you're enthusiastic about innovating and delivering exceptional shopping experiences to customers, thrive on new challenges, and excel at solving complex user experience problems using latest UX Patterns, Machine Learning, Gen AI, then you're the perfect candidate for this role. Strong business acumen and interpersonal skills are a must, as you'll work closely with business owners to understand customer needs and design scalable solutions. Key job responsibilities * Define scalable front end architectures, own and implement specific components, and help shape the overall user experience * Define best practices for front end development * Collaborate closely with UX Designers, Product Managers, Science and generalist Software Development Engineers to deliver the product. *Lead planning, design, implementation, testing, operations, and process improvement * Take responsibility for technical problem-solving, creatively meeting product goals, and developing best practices. * You will design and develop wide variety of front-end technologies, web applications and mobile apps * Mentor and support the growth of other engineers. A day in the life In this role, you will be part of a multidisciplinary team working on one of Amazon's newest business ventures. As a key member, you will collaborate closely with engineering, product, design, operations, and business development to bring innovative solutions to our customers. Your engineering expertise will be leveraged to research and deliver novel solutions to existing problems, explore emerging problem spaces, and create new knowledge. You will invent and apply state-of-the-art technologies, UX design patterns, machine learning to build next-generation solutions for millions of Amazon customers. About the team This is a critical role for a newly formed team with a vision to create innovative automotive discovery and shopping experiences on Amazon, providing customers better convenience and more selection. We're collaborating with other experienced teams at Amazon to define the future of how customers research and shop for cars online. Basic Qualifications - 4+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience - 5+ years of front-end developer creating prototypes or wire-frames for enterprise web applications or workflows experience - Experience developing with MVC/MVM frameworks (e.g. React.JS, AngularJS, Vue) Preferred Qualifications - Knowledge of web services technologies such as SOAP, HTTP, WSDL, XSD, and REST - Experience in a broad range of software design approaches and common UX patterns. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,700/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Last Mile Delivery & Technology team consists of: 1. programs used to deliver billions of packages to customers, 2. the underlying products and technology that are incorporated into delivery services, and 3. support services to drive innovation in how customers interact with the delivery process. We are looking for several Senior Principal Engineers to develop the technology roadmap for the organization. The Last Mile Technology domain has grown tremendously over the years and is showing no signs of slowing down. Efficient and accurate representation of the world help drivers navigate routes safely. Capacity planning, scheduling, and building optimal routes are essential. Working with external delivery partners enables more deliveries to our customers. At Amazon, Senior Principal Engineers are both visionary leaders and hands-on builders. As Amazon's most senior individual contributors, they work on the hardest problems. Senior Principal Engineers are asked to venture beyond comfortable approaches to pioneer new spaces, and inspire others as to what's possible. They have strong technical judgment and influential skills to facilitate discussions for business-critical designs. Senior Principal Engineers operate at the Director, VP and SVP level as key technical advisers. They provide both architectural guidance and detailed technical direction while nurturing a continuous delivery culture. The team is committed to building a safe, sustainable, and convenient experience for customers, delivery partners and the planet. At Amazon, it's still Day 1. Join us. Key job responsibilities - Serve as a technical leader on the most demanding, cross-functional projects. - Functionally decompose complex problems into simple, straight-forward solutions. - Fully and completely understand system inter-dependencies and limitations. - Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members. - Balance technical leadership and savvy with strong business judgment to make the right decisions about technology choices. - Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience. - Be a builder and an operator. Basic Qualifications - 15+ years of non-internship professional software development experience. - Experience with object-oriented design, data structures, and algorithms. - Experience owning tech strategy, end to end delivery, and partnering with senior leadership. - Proven ability to provide technical and strategic oversight for a high-performing global team of hundreds of engineers. - 10+ years of mentoring and growing engineers. Preferred Qualifications - 20+ years of deep hands-on technical expertise in building complex distributed systems. - Experience solving customer and technical problems with durable, scalable solutions over multi-year, multi-billion dollar, and multi-organization impact. - Desire and ability to inspire and influence at all levels, from engineering graduates, to VPs, SVPs, and CTOs. - Published research or patents in relevant technical areas. - Master's or PhD preferred. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $205,400/year in our lowest geographic market up to $350,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Conversational Shopping team is looking for a Language Engineer to drive efficiencies and innovation in its efforts to deliver a seamless, fluent, and engaging experience for AI-assisted shopping. This is an opportunity to join the high-performing team behind Amazon's Generative AI shopping initiatives such as Rufus AI, Amazon's Conversational Shopping assistant. Our objective is to make it easy for customers worldwide to find and discover the best products, meet their personalized needs with product research, providing comparisons and recommendations, answering specific product questions, and more. This role is inherently high-visibility and highly cross-functional, requiring collaboration and influence across global product, design, science, and engineering teams. We are looking for candidates who are passionate about the intersection of language and technology and who are keen to use their technical abilities to develop automated, scalable solutions to questions in the Large Language Model (LLM) space. Applying a combination of expertise in LLMs, coding and linguistics (i.e., semantics, syntax, pragmatics), they will overcome complex problems in natural language processing (NLP), language understanding and automated AI evaluations. In this role within the Editorial team, they will act as one of the driving forces behind our evaluation-driven product development strategy. They will design processes to facilitate the production of high quality editorial data which will allow us to evaluate and improve the Shopping AI experience in different languages. To do so, they will be tasked with the creation and development of LLM-assisted editorial tools, automated verification scripts and automated annotations (e.g. LLM-as-a-judge) to support the humans-in-the-loop (HITL) work of the broader Editorial team. They will lead and drive the requirements behind data annotation tasks and tooling, writing intuitive annotation guidelines and guiding the creation of the tools adapted to these workflows. They will employ their data processing and analysis skills to track team productivity and measure output quality. They will work in close collaboration with other Language Engineers, AI Editors, Product Managers, Applied Scientists and Software Engineers on initiatives that drive editorial quality, speed and consistency. By creating and synthesizing quality metrics, they will also guide Conversational Shopping teams in delivering both internal stakeholder requirements and achieve the desired Amazon customer outcomes. This role requires strong analytical and technical skills as well as experience in language technology to help us measure, analyze and solve complex problems. They should have experience in creating technical solutions for automating and processing data workflows at scale and have the ability to do so while upholding the highest linguistic quality standards. They should also have exceptional writing and communication skills with the ability to interface between both technical and non-technical teams. Key job responsibilities * Produce, process and manipulate different types of language data, analyze, and provide efficient solutions * Automate operations and perform data analysis using coding/scripting language (e.g. Python) * Develop LLM-assisted workflows and annotations solutions (e.g. LLM-as-a-judge) to support Human-in-the-loop evaluations * Design and lead editorial data production/collection by defining scope with internal customer teams * Define clear editorial workflows (SOPs) to meet or exceed the quality bar * Adopt and design control mechanisms, metrics and methodologies for editorial and annotation quality * Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation, audits and investigations on a periodic basis. * Collaborate with editors, applied scientists, engineers, and product managers to deliver the optimal customer experience and define metrics, guidelines, and workflows to continue doing so * Establish processes and mechanisms to onboard and train editors on an ongoing basis. * Handle work prioritization and deliver based on business priorities. * Be flexible in changes to conventions deployed in response to customers' requests and change workflows accordingly. Basic Qualifications - Knowledge of and proficiency in the use of Python scripting language - Experience communicating technical concepts and processes using clear, simple language and visuals - Experience working in a fast-paced environment similar to a high-tech start-up - Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines - Master's degree, or a PhD and experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Knowledge of command line tools to troubleshoot protocols, analyze log outputs, or automate basic tasks - * Strong Experience in Natural Language Processing, Machine Learning, AI or Large Language Models - * Knowledge of Regex, SQL, MS Excel, Git. - * Familiarity with annotation tools and workflows. Preferred Qualifications - PhD, or a Master's degree and experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - PhD in a quantitative field, or PhD and 4+ years of data scientist experience - Experience with language annotation and other forms of data markup - Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval - Knowledge of user experience principles and techniques - Experience in online retail operations or similar field - * Experience with AWS services (S3, Sagemaker, ML language services, etc.). Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $84,000/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Conversational Shopping team is looking for a Language Engineer to drive efficiencies and innovation in its efforts to deliver a seamless, fluent, and engaging experience for AI-assisted shopping. This is an opportunity to join the high-performing team behind Amazon's Generative AI shopping initiatives such as Rufus AI, Amazon's Conversational Shopping assistant. Our objective is to make it easy for customers worldwide to find and discover the best products, meet their personalized needs with product research, providing comparisons and recommendations, answering specific product questions, and more. This role is inherently high-visibility and highly cross-functional, requiring collaboration and influence across global product, design, science, and engineering teams. We are looking for candidates who are passionate about the intersection of language and technology and who are keen to use their technical abilities to develop automated, scalable solutions to questions in the Large Language Model (LLM) space. Applying a combination of expertise in LLMs, coding and linguistics (i.e., semantics, syntax, pragmatics), they will overcome complex problems in natural language processing (NLP), language understanding and automated AI evaluations. In this role within the Editorial team, they will act as one of the driving forces behind our evaluation-driven product development strategy. They will design processes to facilitate the production of high quality editorial data which will allow us to evaluate and improve the Shopping AI experience in different languages. To do so, they will be tasked with the creation and development of LLM-assisted editorial tools, automated verification scripts and automated annotations (e.g. LLM-as-a-judge) to support the humans-in-the-loop (HITL) work of the broader Editorial team. They will lead and drive the requirements behind data annotation tasks and tooling, writing intuitive annotation guidelines and guiding the creation of the tools adapted to these workflows. They will employ their data processing and analysis skills to track team productivity and measure output quality. They will work in close collaboration with other Language Engineers, AI Editors, Product Managers, Applied Scientists and Software Engineers on initiatives that drive editorial quality, speed and consistency. By creating and synthesizing quality metrics, they will also guide Conversational Shopping teams in delivering both internal stakeholder requirements and achieve the desired Amazon customer outcomes. This role requires strong analytical and technical skills as well as experience in language technology to help us measure, analyze and solve complex problems. They should have experience in creating technical solutions for automating and processing data workflows at scale and have the ability to do so while upholding the highest linguistic quality standards. They should also have exceptional writing and communication skills with the ability to interface between both technical and non-technical teams. Key job responsibilities * Produce, process and manipulate different types of language data, analyze, and provide efficient solutions * Automate operations and perform data analysis using coding/scripting language (e.g. Python) * Develop LLM-assisted workflows and annotations solutions (e.g. LLM-as-a-judge) to support Human-in-the-loop evaluations * Design and lead editorial data production/collection by defining scope with internal customer teams * Define clear editorial workflows (SOPs) to meet or exceed the quality bar * Adopt and design control mechanisms, metrics and methodologies for editorial and annotation quality * Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation, audits and investigations on a periodic basis. * Collaborate with editors, applied scientists, engineers, and product managers to deliver the optimal customer experience and define metrics, guidelines, and workflows to continue doing so * Establish processes and mechanisms to onboard and train editors on an ongoing basis. * Handle work prioritization and deliver based on business priorities. * Be flexible in changes to conventions deployed in response to customers' requests and change workflows accordingly. - Knowledge of and proficiency in the use of Python scripting language - Experience communicating technical concepts and processes using clear, simple language and visuals - Experience working in a fast-paced environment similar to a high-tech start-up - Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines - Master's degree, or a PhD and experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Knowledge of command line tools to troubleshoot protocols, analyze log outputs, or automate basic tasks - * Strong Experience in Natural Language Processing, Machine Learning, AI or Large Language Models - * Knowledge of Regex, SQL, MS Excel, Git. - * Familiarity with annotation tools and workflows. - PhD, or a Master's degree and experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - PhD in a quantitative field, or PhD and 4+ years of data scientist experience - Experience with language annotation and other forms of data markup - Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval - Knowledge of user experience principles and techniques - Experience in online retail operations or similar field - * Experience with AWS services (S3, Sagemaker, ML language services, etc.). Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $84,000/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Catalog Services builds the systems that host and run the world's largest e-Commerce catalog. Within this organization, Product Knowledge (PK) is responsible for mining, modeling, storing and vending the product catalog metadata. This metadata (schema) governs all the possible product information and powers Amazon end-to-end processes, starting on how we organize products, how we define all possible product attributes, how we guide selling partners when listing them, all the way to power customer shopping experiences (e.g., product overview in detail pages, browse taxonomy, search and navigation filters). If you've ever shopped on Amazon, you interacted with our product. We are expanding our ability to process metadata using Generative AI, building Product Knowledge, making faster decisions comparable to humans by leveraging LLMs and GenAI Agents with high precision. This includes scaling resiliency of our services for providing a unified body of content to downstream clients. We are hiring a Senior Technical Program Manager (Sr. TPM) for this charter in New York. As a Sr. TPM in this role, you will collaborate closely with a team of managers, engineers and scientists to deliver solutions into production, establish partnerships with other organizations such as Retail, Category businesses, Operations, Search, to prioritize and translate the business requirements into technical specifications. You will have end to end ownership - from defining the strategy, working with engineering to build the solution, and monitoring progress across the entire Amazon eCommerce pipeline. You will provide direct visibility to senior leadership on all aspects of your programs, drive cross team collaboration, and prioritize initiatives that are crucial to businesses. Key job responsibilities - Manage business and technical requirements, design, be responsible for the overall coordination, quality, productivity and will be the primary point of contact for world-wide stakeholders of programs and goals that you lead. - Partner with engineers, scientists, and businesses to deliver scalable services, and build road maps for the projects you own. - Deeply analyze problems to generate requirements and plans of action; provide simple solutions to complex problems. - Track service levels and schedule adherence, and ensure the individual stakeholder teams meet and exceed their performance targets. - Be expected to discover, define, and apply scientific, engineering, and business best practices. Basic Qualifications - 7+ years of working directly with engineering teams experience - 5+ years of technical product or program management experience - 3+ years of software development experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience Preferred Qualifications - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership - 5+ years of relevant work in a data center or other critical environment experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,900/year in our lowest geographic market up to $231,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you passionate about solving big problems from ground-up? Do you enjoy building new state-of-the-art products at internet scale? Come lead the innovation in this startup team, vertical ad products. This is a green field problem without a known answer or a pattern to follow. We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc. We are looking for a Sr Software Development Engineer to help us evolve the tools, services and frameworks we provide. We seek that rare combination of a solid coding background, a proven track record of applying technologies at scale, and a willingness to challenge the status quo and raise the bar on every service and feature we build. Key job responsibilities Deliver Results and Bias for action matter. Own, build, develop and lead the technical components of a business critical initiative to design, develop, launch and maintain advertising solution(s) and service(s) that enables advertisers with simplified AI-powered advertising offerings. We are looking for a someone excited about this technical strategy of engineering and science teams by working closely with a Principal Engineer and Scientists. You will also help mentor SDEs. Basic Qualifications * 5+ years of non-internship professional software development experience * 5+ years of programming with at least one software programming language experience * 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience * Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications * 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience * Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

About Sponsored Products and Brands The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities As a Software Development Engineer in Machine Learning, you will: * Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems. * Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale. * Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions. About the team SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are looking for a talented Software Engineer with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide. Basic Qualifications * 5+ years of non-internship professional software development experience * 5+ years of programming with at least one software programming language experience * 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience * Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications * 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience * Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

About Sponsored Products and Brands The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities As a Software Development Engineer in Machine Learning, you will: * Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems. * Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale. * Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions. About the team SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are looking for a talented Software Engineer with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide. Basic Qualifications - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

About Sponsored Products and Brands The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities As a Software Development Engineer in Machine Learning, you will: * Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems. * Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale. * Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions. About the team SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are looking for a talented Software Engineer with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide. Basic Qualifications - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

We are looking for a Senior Software Development Engineer who will own the infrastructure, platform, and production systems that underpin our agentic advertiser guidance framework. In this role, you will lead the design, build, and scaling of core services such as tool orchestration, agent execution engine, evaluation pipelines, model serving/tuning infrastructure, and monitoring systems. You will work closely with applied scientists and engineers to translate prototype agent capabilities into robust, scalable production systems. You will need to rapidly learn and apply new techniques in agent deployment, model tuning, reinforcement learning infrastructure, multi-step reasoning orchestration, and system optimization. You will build APIs, pipelines, and frameworks that allow agents to reason, plan, and act reliably at scale, ensuring low latency, high throughput, resilience, fault tolerance, versioning, and safety guardrails. A critical aspect of this role is being customer-obsessed: you will work backwards from advertiser needs to ensure that infrastructure decisions enable real customer-facing experiences. You will also partner with cross-functional teams-science, product, operations-to continuously iterate the agentic architecture, evaluation metrics, and tuning loops. This is a high-impact role where you balance deep technical craftsmanship with product sensibility, setting standards, influencing architecture, and owning end-to-end delivery of agentic capabilities. Key job responsibilities * Lead engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance * Design and implement scalable architecture to host agent orchestration, tool invocation, state management, and feedback loops. * Build scalable, reusable data and tool registry * Construct evaluation pipelines (offline and online) to assess agent reasoning quality, performance metrics, safety constraints, and KPI impact. * Integrate and manage tuning pipelines (e.g. hyperparameter tuning, RL fine-tuning, preference optimization), and provide abstraction layers for scientists to plug in models. * Implement observability, logging, metrics, alerting, tracing, and drift detection for agent behaviors and model performance. * Ensure resilience, fault isolation, auto-scaling, batching, caching, resource allocation, concurrency control, and SLA compliance. * Rapidly prototype and evaluate new system designs or algorithmic patterns (e.g. streaming inference, memory caching, chaining of reasoning modules, tool embeddings). * Collaborate in design reviews, code reviews, system design, and cross-team architecture alignment. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The Advertiser Guidance team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon's retail ecosystem. Our vision is to build a highly personalized, context-aware agentic advertiser guidance system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities-from high-level product guidance down to granular keyword recommendations-and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive. Basic Qualifications * 5+ years of non-internship professional software development experience * 5+ years of programming with at least one software programming language experience * 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience * Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications * 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience * Bachelor's degree in computer science or equivalent * Experience with AI/ML technologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Calling all inventors to work on exciting new opportunities in Sponsored Ads. Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses, driving long-term growth. Sponsored Ads helps merchants, retail vendors, and brand owners grows incremental sales of their products sold on Amazon through native advertising. Sponsored Ads achieves this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. We are a highly motivated, collaborative and fun-loving group with an entrepreneurial spirit and bias for action. If you are looking to make an impact, this is the team for you. You will join a newly-founded team with a broad mandate to experiment and innovate, which will give you the flexibility to develop systems and services from the ground up. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact. You will lead design/architecture efforts across the full-stack, partner with scientists to develop ML systems, and be a force-multiplier for other engineers on the team. Most importantly, you will have an opportunity to grow and broaden your technical skills as you work in an environment that thrives on creativity, experimentation, and collaboration. Basic Qualifications * 5+ years of non-internship professional software development experience * 5+ years of programming with at least one software programming language experience * 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience * Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications * 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience * Bachelor's degree in computer science or equivalent * Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

We are looking for a Senior Software Development Engineer who will own the infrastructure, platform, and production systems that underpin our agentic advertiser guidance framework. In this role, you will lead the design, build, and scaling of core services such as tool orchestration, agent execution engine, evaluation pipelines, model serving/tuning infrastructure, and monitoring systems. You will work closely with applied scientists and engineers to translate prototype agent capabilities into robust, scalable production systems. You will need to rapidly learn and apply new techniques in agent deployment, model tuning, reinforcement learning infrastructure, multi-step reasoning orchestration, and system optimization. You will build APIs, pipelines, and frameworks that allow agents to reason, plan, and act reliably at scale, ensuring low latency, high throughput, resilience, fault tolerance, versioning, and safety guardrails. A critical aspect of this role is being customer-obsessed: you will work backwards from advertiser needs to ensure that infrastructure decisions enable real customer-facing experiences. You will also partner with cross-functional teams-science, product, operations-to continuously iterate the agentic architecture, evaluation metrics, and tuning loops. This is a high-impact role where you balance deep technical craftsmanship with product sensibility, setting standards, influencing architecture, and owning end-to-end delivery of agentic capabilities. Key job responsibilities - Lead engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance - Design and implement scalable architecture to host agent orchestration, tool invocation, state management, and feedback loops. - Build scalable, reusable data and tool registry - Construct evaluation pipelines (offline and online) to assess agent reasoning quality, performance metrics, safety constraints, and KPI impact. - Integrate and manage tuning pipelines (e.g. hyperparameter tuning, RL fine-tuning, preference optimization), and provide abstraction layers for scientists to plug in models. - Implement observability, logging, metrics, alerting, tracing, and drift detection for agent behaviors and model performance. - Ensure resilience, fault isolation, auto-scaling, batching, caching, resource allocation, concurrency control, and SLA compliance. - Rapidly prototype and evaluate new system designs or algorithmic patterns (e.g. streaming inference, memory caching, chaining of reasoning modules, tool embeddings). - Collaborate in design reviews, code reviews, system design, and cross-team architecture alignment. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The Advertiser Guidance team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon's retail ecosystem. Our vision is to build a highly personalized, context-aware agentic advertiser guidance system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities-from high-level product guidance down to granular keyword recommendations-and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive. Basic Qualifications - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience with AI/ML technologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Redshift is one of the world's most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers. We are always looking for the innovative engineers to help shape the future of Redshift. We are actively hiring a talented Senior Software Engineer in the Query Processing team of Redshift. Query processing is at the heart of Redshift data plane and is responsible for the massive parallel execution engine. Key job responsibilities As a Senior Software Development Engineer in Redshift, you will build systems that benefit Redshift clusters across the world. You will take significant ownership on the overall product vision by defining new features and architecture. You will distill complex and ambiguous requirements, converting them into meaningful projects that provide immense customer value. You will own and code end-to-end deliverables from design, development, deployment, monitoring, and operations. You will lead engineers on substantial projects and help develop a flourishing team through active mentoring and hiring. This is a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology powering analytical workloads for Fortune 500 companies, startups, and everything in between. You will bring deep technical, algorithmic and coding expertise with the ability to work within a fast moving and collaborative environment in the industry leading cloud company to deliver a broad business impact. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you're always working on the most important stuff. About the team Amazon Redshift is a fully managed, AI powered, petabyte-scale cloud data warehouse service. Tens of thousands of customers today depend on Redshift to revolutionize their data analytics processes, providing vital insights for their businesses. Our team works on the execution engine of Amazon Redshift and our key areas of focus are high scalability, performance, and overall extend the capabilities of the execution engine. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience with distributed computing and enterprise-wide systems Proficiency in at least one modern programming language like Java, C++, Rust, or Python building and operating mission-critical, highly available systems Preferred Qualifications - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Requires strong coding skills with emphasis on logical thinking, data structures, algorithms, and problem-solving capabilities. - Experience with distributed (multi-tiered) systems architecture - Experience performing live system and core analysis using GDB Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Commerce Platform (CP) provides the back- and front-end services that enable AWS Service teams to sell to AWS customers, as well as allowing AWS customers to purchase AWS Services and to understand and manage their infrastructure costs. Because we sit at the nexus of all AWS Services and end-customers, we work closely across all AWS teams to ensure that we offer a great customer experience. PPOA enables sellers to set up and manage products with public rates. PPOA systems also capture and store the commercial agreements AWS makes with customers, and they execute the fulfillment steps every time a customer purchases a good or service, signs up for an account, or signs a custom contract. PPOA also provides tooling to rebill and/or issue refunds. In this role, you will... * Help define the system architecture, own and implement specific components, and help shape the overall experience. * Own and operate the systems that you build, based on real-time customer data and demanding service-level agreements. * Collaborate closely with UX Designers, Product Managers, and Software Development Engineers on the same team to help define the scope of the product. * Contribute to planning, design, implementation, testing, operations, and process improvement as a member of an autonomous team. * Take responsibility for technical problem-solving, creatively meeting product goals, and developing best practices.. * Write high-quality, efficient, testable code in Java, Python, Javascript and TypeScript. * Design Amazon scale tools to facilitate internal business. * Build highly available, secure systems that deal with confidential billing data. * Mentor and support the growth of other developers. * Find out what it takes to engineer systems for "Amazon Scale". Key job responsibilities As a Software Development Engineer, you will contribute to all aspects of an agile software development lifecycle, including design, architecture, development, documentation, testing and operations. You will push your design and architecture limits by owning all aspects of solutions end-to-end, through full stack software development. Your team's focus is on designing and implementing workflow engines to automate product and price generation. Taking pride in both the technical and business contribution of your work, you will be given the chance to have a significant impact on our systems, our business and our customers. You will design and implement new features, and be part of a team that is building the future of the cloud. About the team Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - 7+ years of non-internship professional software development experience - 7+ years of programming with at least one software programming language experience - 7+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Calling all inventors to work on exciting new opportunities in Sponsored Ads. Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses, driving long-term growth. Sponsored Ads helps merchants, retail vendors, and brand owners grows incremental sales of their products sold on Amazon through native advertising. Sponsored Ads achieves this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. We are a highly motivated, collaborative and fun-loving group with an entrepreneurial spirit and bias for action. If you are looking to make an impact, this is the team for you. You will join a newly-founded team with a broad mandate to experiment and innovate, which will give you the flexibility to develop systems and services from the ground up. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact. You will lead design/architecture efforts across the full-stack, partner with scientists to develop ML systems, and be a force-multiplier for other engineers on the team. Most importantly, you will have an opportunity to grow and broaden your technical skills as you work in an environment that thrives on creativity, experimentation, and collaboration. Basic Qualifications - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. eBay is seeking a dedicated, team-oriented, and highly skilled Senior AI Engineer to join our Core AI division. This is an exciting opportunity to work with a highly visible and well-positioned team at one of the most established and heavily trafficked ecommerce companies in the world. You will be part of an agile team driving forward some of eBay's most important and impactful AI initiatives. About the Role You will work closely with Software Engineers, Researchers, and Data Engineers across the full AI lifecycle: from early experimentation and prototyping to deploying production-grade AI systems that support millions of users. Your focus will include Multimodal Generative AI system, working with videos, images, and textual data, and contributing to both infrastructure and end-user capabilities. We value curiosity, engineering excellence, and the willingness to challenge convention. Our systems handle billions of requests per day, leverage large-scale GPU clusters, and power key experiences across the platform. Responsibilities * Design, build, and optimize systems that use multimodal data and Generative AI architectures in scalable, reliable, and cost-effective ways. * Lead development of AI led user experiences, including those using videos, live-streams, images, audio and textual data. * Help advance eBay's internal platform for GenAI applications, contributing reusable components, and APIs. * Monitor and optimize AI systems in production for performance, quality, and responsible AI use. * Stay current with the latest advances in AI/ML and apply a critical lens when integrating new models or tools into the product stack. * Drive iteration on design, implementation, and evaluation processes based on experimentation and team feedback. Qualifications * 8+ years in software or machine learning engineering roles. * 4+ years of focused experience developing and deploying AI-centric systems that use visual or multimodal data. * 2+ years building generative-AI systems, including systems that incorporate VLMs, diffusion models, or other multimodal models. * Proven success in taking AI-powered products from prototype to production, with an emphasis on maintainability, performance, and user impact. * Strong programming skills in Java or similar JVM languages, with working proficiency in Python and ML frameworks (e.g., PyTorch, TensorRT). * Hands-on experience with: * Docker & Kubernetes * Big Data technologies (e.g., Hadoop, Spark) * UI/UX considerations in application development * Bonus qualifications: * Working knowledge of Spring Framework * Familiarity with streaming data systems (e.g., Kafka, Flink, Beam, Storm) * Familiarity with vector stores (PgVector, FAISS, Pinecone) * Experience with C++ and CUDA for performance-critical components What We Look For * Strategic thinker with a strong technical foundation and a bias for action. * Excellent communicator who can bridge the gap between research, engineering, and product. * Deep curiosity and hands-on experimentation with the evolving VLM/LLM ecosystem. * Strong commitment to building responsible, ethical, and impactful AI systems. * A collaborative, self-driven mindset and genuine excitement to push the boundaries of what's possible with AI at eBay. The base pay range for this position is expected in the range below: $210,400 - $280,900 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at ***************. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. eBay is seeking a dedicated, team-oriented, and highly skilled Senior AI Engineer to join our Core AI division. This is an exciting opportunity to work with a highly visible and well-positioned team at one of the most established and heavily trafficked ecommerce companies in the world. You will be part of an agile team driving forward some of eBay's most important and impactful AI initiatives. About the Role You will work closely with Software Engineers, Researchers, and Data Engineers across the full AI lifecycle: from early experimentation and prototyping to deploying production-grade AI systems that support millions of users. Your focus will include Multimodal Generative AI system, working with videos, images, and textual data, and contributing to both infrastructure and end-user capabilities. We value curiosity, engineering excellence, and the willingness to challenge convention. Our systems handle billions of requests per day, leverage large-scale GPU clusters, and power key experiences across the platform. Responsibilities Design, build, and optimize systems that use multimodal data and Generative AI architectures in scalable, reliable, and cost-effective ways. Lead development of AI led user experiences, including those using videos, live-streams, images, audio and textual data. Help advance eBay's internal platform for GenAI applications, contributing reusable components, and APIs. Monitor and optimize AI systems in production for performance, quality, and responsible AI use. Stay current with the latest advances in AI/ML and apply a critical lens when integrating new models or tools into the product stack. Drive iteration on design, implementation, and evaluation processes based on experimentation and team feedback. Qualifications 8+ years in software or machine learning engineering roles. 4+ years of focused experience developing and deploying AI-centric systems that use visual or multimodal data. 2+ years building generative-AI systems, including systems that incorporate VLMs, diffusion models, or other multimodal models. Proven success in taking AI-powered products from prototype to production, with an emphasis on maintainability, performance, and user impact. Strong programming skills in Java or similar JVM languages, with working proficiency in Python and ML frameworks (e.g., PyTorch, TensorRT). Hands-on experience with: Docker & Kubernetes Big Data technologies (e.g., Hadoop, Spark) UI/UX considerations in application development Bonus qualifications: Working knowledge of Spring Framework Familiarity with streaming data systems (e.g., Kafka, Flink, Beam, Storm) Familiarity with vector stores (PgVector, FAISS, Pinecone) Experience with C++ and CUDA for performance-critical components What We Look For Strategic thinker with a strong technical foundation and a bias for action. Excellent communicator who can bridge the gap between research, engineering, and product. Deep curiosity and hands-on experimentation with the evolving VLM/LLM ecosystem. Strong commitment to building responsible, ethical, and impactful AI systems. A collaborative, self-driven mindset and genuine excitement to push the boundaries of what's possible with AI at eBay. The base pay range for this position is expected in the range below: $210,400 - $280,900 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at ***************. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. Salary Range: $204,000.00 - $240,000.00 What's the role? Our Foundation Engineering teams are responsible for innovating and scaling our systems and infrastructure to align with Etsy's rapid growth and future plans. More specifically our teams build, maintain, and support many of the platforms and services that power Etsy's technical stack to connect tens of millions of Etsy sellers and customers. We also partner with Etsy engineers to help them achieve paved path development and deployment experiences. This is a full-time position reporting to the Senior Engineering Manager, Service Platform. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy's Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here. What's this team like at Etsy? You will be joining a mission critical team responsible for the architecture, implementation, and support of Etsy's primary containerized Services Platform built on Cloud Run. This new platform supports the service based architecture initiatives of many Etsy teams including both product and infrastructure engineering. We're looking for people who are excellent at working with others, are creative problem-solvers, and are passionate about software as craft. We value clear communication, honest feedback, and empathy for others. This is a truly exciting opportunity to join Etsy as we move into the next stage of our service platform's evolution, building on its rapid adoption and scaling it to a higher level of maturity for the growing needs of our engineering teams. What does the day-to-day look like? Etsy is seeking a Staff Engineer with SRE/Service//DevOps experience to join its growing Foundation Platform and SRE organization. As a Staff Engineer you will be the technical and career role model on the direct team, in the Platform Initiative, and within the entire infrastructure organization. You will be responsible for architecting our systems in GCP as well as leading and delivering on multiple critical and complex technical initiatives in GCP. You will work with stakeholders and internal customers to align their requirements with project roadmaps and technical design. At important junctures, you will evaluate pros and cons and provide guidance and recommendations on which design decisions or technical direction to take. You will help determine project priorities and quarterly deliverables and help drive the team and initiative roadmaps. You will produce stellar technical specs and documentation that can be read and understood by team members and other technical leads and engineering leaders. You will mentor and coach junior engineers on the team and in the engineering organization. You will participate in hiring efforts. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualities that will help you thrive in this role are: You have 7+ years of experience in an SRE or DevOps role in a cloud environment coupled with strong software and/or platform engineering experience. You have experience as a technical lead or architect for large scale, distributed, consumer facing applications. Bash/Python/Go proficiency essential. PHP/Node proficiency is more of a bonus. You have in-depth knowledge of Linux operating systems and have experience with hypervisors, Linux containers and orchestration managers. You have design experience with Service Oriented Architecture and hands on experience with container management tooling (like Cloud Run or Kubernetes) You are comfortable providing estimates or project ideas that will influence your team's roadmap. You are a strong collaborator and communicator and can mentor other engineers. Your written communication is concise and clear. You are able to step up to lead the team when necessary, or dive deep to help with most challenging technical details. Additional Information What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.