Software engineer jobs in Olympia, WA

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloudscale machine learning accelerators. Come optimize LLMs such as Llama and GPT OSS to run really fast on Trainium. As the SDM for the Neuron Inference Technology building blocks team, you will guide your expert AI engineers to build fundamental inference technology building blocks and libraries to enable AI developers to optimize model for inference on Trainium and Inferentia devices. We're currently focusing on MoE models such as GPT OSS for Trainium 2 and the upcoming Trainium 3. You will develop and optimize blocks such as attention kernels and deliver them in the Neuronx_Distributed Inference Libraries, enabling customers to optimize LLMs, multimodal, and generative models. The ideal candidate will have an established background in optimizing LLMs, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime and collectives. A day in the life You will work with your senior management and technical leaders to define the building blocks for the latest LLMs, build and deliver them to customers. You will manage changing priorities as new models and new technologies emerge, and you adapt your team's work to manage them. You will dive deep to help your team solve technical challenges. About the team 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. 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. 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- 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers 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 $166,400/year in our lowest geographic market up to $287,700/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 Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Do you like helping U.S. Intelligence Community agencies implement innovative cloud computing solutions and solve technical problems? Would you like to do this using the latest cloud computing technologies? Do you have a knack for helping these groups understand application architectures and integration approaches, and the consultative and leadership skills to launch a project on a trajectory to success? Amazon is seeking a Linux/Unix Systems Administrator/Engineer with the ability to automate day to day tasks and develop/build software and/or services from the ground up. A good candidate must have strong Linux/Unix Systems Administration knowledge, including shell scripting, and a proficiency in at least one development language. They must be able to think at “Amazon scale” to solve problems in permanent, sustainable, and scalable ways. With an eye toward utilizing the best solution over the quickest solution. At Amazon scale, Network Engineers rely on an ever increasing number of tools to manage thousands of network devices that support AWS services. Our Systems Team manages the hundreds of tools/services and components that the Network Engineers rely on to keep the network operational. This includes systems that track loss and incident correlation, scaling and building of new and existing network devices, and a full suite of monitoring tools. Many of these tools provided integrations with one another to give a broad to in depth view of the status of the network and aid in troubleshooting. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. Key job responsibilities The Systems Development Engineers on the team are responsible for maintaining the network tools/systems described above within US GovCloud and other US Government air gapped regions. This includes troubleshooting problems with systems and services, regular deployment of new versions of the systems and their subcomponents, deployment/system validation and testing, service monitoring, standing up new services/tools, etc. The team works with many different internal Software Development teams to drive improvement of the systems/services within the team's scope. It is important to be able to work collaboratively and independently to investigate and document issues and create solutions to solve them at scale. Do you: Calmly and quickly diagnose and fix critical systems failures in high pressure situations? Manage and grow innovative, production-quality tools to solve real operational problems, in Python, Perl, Ruby, Shell, Java, etc.? Investigate complicated technical issues scientifically and thoroughly, and assist in fixing them so they don't come back? Understand how a modern, cloud-hosted application stack works from top to bottom? Know how to provide technical solutions to real business problems in a global organization? If you're a customer-focused System/DevOps Engineer who would like to contribute to a critical success story, we would love to hear from you! Over a million customers rely on Amazon Web Services (AWS) network for building and running their applications and businesses. Our customers success depends on our world-class network infrastructure, and our network depends on our systems team! Physical requirements: - Must be able to work in a 24x7 team on call rotation, with ability to drive into workplace for critical events/needs. - The ability to sit in front of computer during scheduled work hours with appropriate breaks while maintaining a high level of alertness and attention to detail. - Travel to data center/systems sites and Amazon/customer offices as needed. - Experience dealing with customers during problem resolution and operating efficiently under pressure. About the team 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. Amazon values diverse experiences. Even if you do not meet all of the preferred 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. 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. 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. 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- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- 3+ 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 $129,300/year in our lowest geographic market up to $223,600/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.

Backend Software Engineer (Block Storage) W2 Contract Salary Range: $114,400 - $135,200 per year We are looking for collaborative, curious, and pragmatic Software Engineers to be part of this innovative team. You will be able to shape the product's features and architecture as it scales orders of magnitude. Being part of our Cloud Infrastructure organization opens the door to exerting cross-functional influence and making a more significant organizational impact. Requirements and Qualifications: Proficient with UNIX/Linux Coding skills in one or more of these programming languages: Rust, C++, Java or C# Experience with scripting languages (Bash, Python, Perl) Excellent knowledge of software testing methodologies & practices 2 years of professional software development experience Strong ownership and track record of delivering results Excellent verbal and written communication skills Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience. Preferred Qualifications: Proficiency in Rust Experience with high-performance asynchronous IO systems programming Knowledge on distributed systems Desired Skills and Experience Proficient with UNIX/Linux, Rust, C++, Java, C#, Bash, Python, Perl, software testing methodologies, professional software development, strong ownership, results-driven delivery, excellent communication skills, computer science or engineering degree, high-performance asynchronous IO systems programming, distributed systems Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at *************************

We are seeking a highly experienced Senior Staff Software Engineer to lead and deliver complex technical projects from inception to deployment. This role requires a strong background in software architecture, hands-on development, and technical leadership across the full software development lifecycle. This role is with a fast-growing technology company pioneering AI-driven solutions for real-world infrastructure. Backed by significant recent funding and valued at over $5 billion, the company is scaling rapidly across multiple verticals, including mobility, retail, and hospitality. Its platform leverages computer vision and cloud technologies to create frictionless, intelligent experiences, positioning it as a leader in the emerging Recognition Economy-a paradigm where physical environments adapt in real time to user presence and context. Required Qualifications 10+ years of professional software engineering experience. Proven track record of leading and delivering technical projects end-to-end. Strong proficiency in Java or Scala. Solid understanding of cloud technologies (AWS, GCP, or Azure). Experience with distributed systems, microservices, and high-performance applications. Preferred / Bonus Skills Advanced expertise in Scala. Prior experience mentoring engineers and building high-performing teams. Background spanning FAANG companies or high-growth startups. Exposure to AI/ML or general AI technologies.

Process Skills: Data Pipeline (Proficient), SQL (Expert), Python(Proficient), ETL (Expert), QuickSight (Intermediate) Contract Type: W2 Only Duration: 5+ months (high possibility of conversion) Pay Range: $65.00 - $70.00 Per Hour #LP Summary: Join the Sustain.AI team as a Data Engineer to lead the pivotal migration of sustainability data to modern AWS infrastructure, fostering a net-zero future. This role involves transforming and automating sustainability workflows into data-driven processes, significantly impacting our environmental goals. Your work will directly contribute to reducing the carbon footprint by creating an automated, scalable data infrastructure and ensuring precise data quality and consistency. Key Responsibilities: Migrate ETL jobs from legacy to AWS, ensuring no operational disruptions. Set up and manage AWS data services (Redshift, Glue) and orchestrate workflows. Transform existing workflows into scalable, efficient AWS pipelines with robust validation. Collaborate with various teams to understand and fulfill data requirements for sustainability metrics. Document new architecture, implement data quality checks, and communicate with stakeholders on progress and challenges. Must-Have Skills: Advanced proficiency in ETL Pipeline and AWS data services (Redshift, S3, Glue). Expertise in SQL and experience with Python or Spark for data transformation. Proven experience in overseeing data migrations with minimal disruption. Industry Experience Required: Experience in sustainability data, carbon accounting, or environmental metrics is highly preferred. Familiarity with large-scale data infrastructure projects in complex enterprise environments is essential. ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in IT Staffing As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

Must Have Technical/Functional Skills • Strong development experience in core Java 7+. • Familiar with Python and Azure • Proven experience as a Full Stack Developer with strong Java backend skills (Spring Boot, Hibernate). • Proficiency in ReactJS, including hooks, state management (Redux or Context API), and component lifecycle. • Solid understanding of HTML5, CSS3, JavaScript (ES6+), and responsive design. • Experience with RESTful API design and integration. • Familiarity with relational databases and ORM frameworks. • Knowledge of version control systems (e.g., Git). • Experience with build tools and CI/CD pipelines is a plus. • Strong problem-solving skills and attention to detail. • Excellent communication and teamwork abilities. Preferred Qualifications: • Bachelor's degree or higher • Experience with containerization (Docker) and cloud platforms (TAS, Azure). • Knowledge of testing frameworks (JUnit, Mockito, Jest). • Familiarity with Agile/Scrum methodologies. • Understanding of microservices architecture Roles & Responsibilities • Develop and maintain web applications using Java (Spring Boot, Hibernate) on the backend and ReactJS on the frontend. • Collaborate with product managers, designers, and other developers to understand requirements and deliver features. • Write clean, efficient, and maintainable code following best practices. • Design and implement RESTful APIs and integrate with frontend components. • Optimize applications for maximum speed and scalability. • Participate in code reviews, testing, and debugging to ensure software quality. • Troubleshoot and resolve issues in development, testing, and production environments. • Stay updated with emerging technologies and apply them to improve development processes. Contribute to architectural decisions and technical documentation. Base Salary Range: $100,000 - $120,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

A globally leading consumer device company based in Seattle, WA is looking for a ML Data Pipeline Engineer to join their dynamic team! Job Responsibilities: • Assist team in building, maintaining, and running essential ML Data Pipelines. Minimum Requirements: 5 year+ experience Experience with cloud platforms (AWS, Azure, GCP) Strong Data quality focus - implementing data validation, cleansing, transformation Strong proficiency in Python and related data science libraries (e.g., pandas, NumPy). Experience with distributed computing Experience dealing with image-type and array-type data Able to automate repetitive tasks and processes Experience with scripting and automation tools Able to execute tasks independently and creatively Languages: Fluent in English or Farsi Type: Contract Duration: 12 months with extension Work Location: Seattle, WA (hybrid) Pay Rate Range: $40.00 - $55.00 (DOE)

Team Introduction: The Recommendation Infrastructure Team is responsible for building reliable, efficient, flexible, and generic recommendation components, systems, and platforms. Our work supports the fast iteration and incubation of TikTok's recommendation products. We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2026. Successful candidates must be able to commit to one of the following internship start dates below: (Select below options for Summer) * 5/11/2026 * 5/18/2026 * 5/26/2026 * 6/8/2026 * 6/22/2026 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to: * Build and maintain high performance online services for TikTok recommendation system. * Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc. * Work with your mentor to build globalized large-scale recommendation system. * Design and develop high performance computing frameworks and storage systems.Minimum Qualifications: * Must be able to commit to a 12-week full-time work period during Summer 2026 * Currently pursuing an Undergraduate/Masters degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline. * Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang. * Effective communication skills and a sense of ownership and drive. * Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: * Graduating December 2025 onwards with intent to return to degree-program after the completion of the internship. * Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications. * Demonstrated experience in one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.

About The Company Qumulo is the unstructured data platform to store and manage exabyte-scale data anywhere - at the edge, in the core data center and in the cloud. With unstructured data growing in more locations faster than ever before, enterprises today need a way to store, manage, and curate data simply and efficiently in any location, on any platform. This is precisely what Qumulo was founded to accomplish. At Qumulo, we are building an open and collaborative culture where people can do their best work with customers as our magnetic field. We act as owners, we share by default, we are data driven and experimental and as an inclusive workplace, we encourage and celebrate multiple points of view. As part of our culture we believe diversity drives innovation. About The Position At Qumulo, we've built a truly outstanding modern file data platform from scratch. Our software runs natively in the public cloud or in private data centers, allowing our customers to truly Scale Anywhere. It's incredibly exciting work and there is a lot more to do to make our full vision reality. As an Intern you will be a full member of the Qumulo engineering team doing production work in our system. Your work will take an innovative product to the next level, see that effort fuel customer innovation, and grow the Qumulo business. We hire committed, adaptive engineers with a diverse set of backgrounds and who we can depend on to solve problems head on. Our engineers work collaboratively both within the product development organization and across the company to ship a continuously integrated and deployed code base. Engineers at Qumulo work alongside people who have an appetite for collaborative coding environments. It's a community where individual engineers have a voice. Our teams are given the charter to design and build the features that deliver clear value to our customers. Responsibilities * Collaborate with team members on design, code reviews, and pair programming * Collaborate with team members and area leads on architecture and design of new/updated features * Contribute to feature development and testing using C, Rust and Python * Define and implement customer-facing features and internal improvements * Help debug and fix test failures and product or service issues Qualifications * Ability to write well-factored and well-tested code * Strong grasp of algorithms and data structures, with some experience in distributed systems, database concepts, concurrent programming, or operating systems concepts * At least one class, internship or personal project using C, C++, Rust, Java, or Go * Willingness to work collaboratively with a team to solve complex problems * Pursuing a BS or BA in Computer Science or Computer Engineering or equivalent experience Qumulo is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, gender, religion, sex, sexual orientation, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law. Please note that employment at Qumulo is contingent upon completion of a satisfactory background check. For more information on our Applicant and Employee Privacy Notice please click on the link below: Privacy Notice

Wages range from $19.50 to $21.50 per hour Do you enjoy investigation and problem solving? Are you interested in natural resources and manufacturing? This is a fast-paced position providing engineering solutions to environment challenges. Qualified engineers (e.g. SCADA, process, software) work with a team of engineers and operators to develop applications for data collection and storage. Develop environmental compliance tools to improve boiler operations and visualization or water quality and air quality compliance programs. Duties include, but are not limited to: * Collaborate with engineering team to develop and configure Ignition (by Inductive Automation) to interface with boiler PLC and other data sources to collect and manage data * Develop equations related to boiler and cogeneration system Operation and Maintenance to improve efficiency and reliability * Develop data visualization tools to assist management to understand boiler KPIs * Develop and test tools * Prepare training and assist with tool implementation * Travel to other locations as needed Qualifications * College-level course work in engineering or programming * Experience with PLCs and databases a plus * Excellent communication skills * Excellent critical thinking and writing skills * Thorough and organized * Knowledgeable with spreadsheets Base Locations: Anderson, California Eugene, Oregon or Shelton, Washington Compensation includes competitive hourly wage and housing allowance for qualifying individuals. How to Apply Apply online at: spi-ind.com/internships Applicants must provide a cover letter and resume when submitting application. Applications Close: January 16th 2026 Interviews will be ongoing as applications are received. Position may be filled prior to deadline. Employment Period: SUMMER 2026 (flexible start & end dates) Celebrate our 300th million seedling planted with us! spi-ind.com/OurForests/ThreeHundredMillion Sierra Pacific is an (EOE) Equal Opportunity Employer, including those with a disability and veterans. About Our Company Sierra Pacific Industries is a fourth-generation family-owned company based in Northern California that started in 1949 and has grown to be one of the largest lumber and millwork producers in the U.S., employing around 6,500 crew members. Sierra Pacific continues to be a company where its employees are proud to work at state-of-the-art facilities and others strive to become part of the team. We own and sustainably manage more than 2.4 million acres of timberland in California, Oregon, and Washington. Our forests are sustainably managed under a 100-year plan by Registered Professional Foresters, Wildlife Biologists, Botanists, and other professionals. We are growing forests for our future, planting over 6 million new trees every year. In Spring 2024, we planted our 300 millionth seedling on our timberlands. This milestone was decades in the making, reflecting our commitment to sustainable forest management and ensuring we have forests not just for today, but for generations to come. Sierra Pacific effectively uses nearly 100% of every piece of wood we bring to our facilities. In fact, any small amount that isn't turned into hand-crafted doors and windows, millwork, lumber, or landscaping material is actually converted into electricity in our eight biomass-fueled power plants. We are proud that all Sierra Pacific facilities follow our drug-free and tobacco-free policies. As part of our safety in the workplace policy, an offer of employment is subject to a negative drug screen result. We use E-verify to verify the social security number and work authorization of all newly hired employees. Sierra Pacific is an (EOE) Equal Opportunity Employer, including those with a disability and veterans. At Sierra Pacific Industries, we understand our greatest strength is the people who choose to build a career with us. What does it mean to be part of the Sierra Pacific family? It means you are a valued team member and part of a growing, fourth-generation family-owned, forest products company built on hard work, innovation, and wise investments. With around 6,500 crew members in over 30 states, Sierra Pacific offers many opportunities for personal and professional growth; from entry-level to skilled trades, from truck drivers to sales managers, from foresters to engineers - for everyone! We invite you to learn more about our history, our 2.4 million acres of forestlands, and our state-of-the-art wood product and window manufacturing facilities at ************************ As part of our safety in the workplace policy, an offer of employment is subject to a negative drug screen result. We are also proud that all Sierra Pacific facilities follow our tobacco-free policy. Sierra Pacific adheres to E-verify to verify the social security number of all newly hired employees. Sierra Pacific is an (EOE) Equal Opportunity Employer, including those with a disability and veterans. If you are an individual with a disability and need accommodation to complete the application process, please call ************ or write to Sierra Pacific Industries at PO Box 496011, Redding, CA 96049.

We're looking for inquisitive, collaborative interns to join our engineering teams. Working closely with mentors and product, design, data, and back‑end engineers, you'll learn how large‑scale systems operate and play a meaningful role in building new technologies, features, and tools. Expect real projects, supportive teammates, and plenty of opportunities to explore ideas that make a difference for our teams and Pinners. What you'll do: Demonstrate accountability and quality in your work while receiving support and guidance from your mentor, manager, and peers Execute scoped technical tasks end-to-end to help build the future of Pinterest Deliver code that is well-documented, tested, and operable Communicate new ideas and opinions with candor as you grow both professionally and personally through learning and development opportunities Collaborate with your team and contribute to real projects that impact Pinterest Opportunities to interact with leaders and employees across Pinterest and to participate in a variety of optional company events What we're looking for: This position requires current enrollment in a school or education program in which the individual is working towards a Bachelor's or Master's in Computer Science (CS) or a related technical field Obtain Master's in Computer Science or a related technical field by June 2028 2-3 years of completed CS classes (Intro to CS and Algorithms, Advanced Algorithms, Operating Systems and Data Structures are all great!) Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms. Experience with JavaScript, CSS, C++, HTML, Python, Java, or Go as we use a variety of programming languages and tools Non-academic coding experience (i.e. hack-a-thons, code challenges, personal projects, GitHub, Open Source, volunteer coding experience, conference participation, etc.) You have current authorization to work in the US and will not require employer visa sponsorship now or in the future Demonstrated curiosity and a desire to tackle and solve complex problems We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 In-Office Requirement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration [1-2 times per week] and therefore needs to be in a commutable distance from one of the following offices [Seattle]. Relocation Statement: This position may be eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only The minimum and maximum salary for this position is $8,250 - $11,000 monthly. #LI-HYBRID #LI-FILS

Be part of a team passionate about building a great auto-remediation platform About Us : We are a startup founded by ex-Amazon and Intel employees. Neptune.io is SaaS platform that auto-remediates IT monitoring alerts. Neptune sits on top of existing monitoring systems such as Amazon CloudWatch, NewRelic etc, and takes automated actions when alerts come, thus improving DevOps productivity and saving costs. Careers at Neptune.io : We know you are already working at large companies, but some of you are passionate about starting up on your own in future. The best way to launch a startup is to take part in a top-notch startup and learn it all first hand ! Currently, we are on a mission to build an amazing platform for developers. If you are excited about building a scalable distributed system ground-up, this is an amazing opportunity. Come join us! Software Engineer, Distributed systems (Full-time or Part-time or Intern) Requirements: Expert software development experience in Java Extensive knowledge of Unix/Linux Experience with AWS EC2, AWS S3, DynamoDB is a plus Familiarity with distributed data management, design/implementation tradeoffs in building high-performance, fault-tolerant distributed systems Education: BS/ MS/PhD in Computer Science or related field Most important of all, you enjoy building a bootstrapped startup from ground-up Responsibilities: Building distributed systems software Improving performance and scalability Diagnosing and debugging complex issues Recruit and build the team with rockstars like you What you'll get from us Opportunity to work along a top-notch team that has experience in companies like Amazon, Intel and Boston Consulting Group. The team has built and shipped services like Amazon S3 and Amazon DynamoDB Learn what's involved in launching a startup - talking to customers, iterating quickly, delivering production-ready code and building the team Contact Please reach out to *************** to learn more

WHO WE ARELindblad Expeditions is a true pioneer in Expedition Travel. From taking the first citizen explorers to Antarctica in 1966, opening the Galapagos and Easter Island to tourism in 1967, leading the first tourist expedition through the Northwest Passage in 1984, and launching our innovative partnership with National Geographic in 2004, we're now taking almost 30,000 guests a year to some of the world's most remote and pristine locations on our fleet of 20 ships, and are committed to ensuring our guests experience the “Exhilaration of Discovery”. ABOUT THE ROLEThe Assistant Engineer is responsible for assisting the Chief Engineer in the maintenance, operation, and repair of all vessel systems onboard ships, including hotel equipment, and as directed by the Chief Engineer. Capable to work under pressure, independently, and without supervision. The Assistant Engineer works 12 hours per day: approximately 6 weeks on, 6 weeks off rotational schedule. ESSENTIAL DUTIES Repair and Maintenance: Operates and maintains the ship's propulsion system Operates and maintains the electrical generation and distribution system, including emergency power. Operates and maintains potable water and auto chlorination system. Operates and maintains black water/gray water/waste tanks, treatment, and testing programs. Operates and maintains HVAC and refrigeration systems. Performs routine maintenance checks and keeps records of jobs performed. Keeps the Chief Engineer informed of all maintenance and repairs that have been done. Helps with engineering, deck, and hotel preventative maintenance programs on a daily, weekly and monthly basis. Completes maintenance and repair tasks as requested in the Cabin Maintenance Notebook. Performs hotel maintenance tasks as needed. Participates in shipyard availabilities. Assists Chief Engineer in all bunkering operations. Support engineering projects by applying engineering techniques; conducting inspections and preparing reports as needed. Maintain essential communication with the engineering team and the Captain of the vessel. Administrative: Uses NSE to update vessel maintenance records for engineering work items. Assists the Chief Engineer with inventories. Operates onboard computer using standard and customized software applications. Maintains compliance of Technical systems onboard with the CDC Vessel Sanitation Program (VSP) and Alaska Department of Environmental Conservation (ADEC) regulations. Familiar with international, federal, state, and local regulations regarding environmental regulations and works with the bridge team to maintain compliance. Liaise with the Expeditions team for any National Parks or local native (i.e. First Nations) environmental regulations. Safety and Security: Follows company safety and pollution prevention policies and procedures and requests guidance when necessary. Assists in the preparation of the vessel for all U.S. Coast Guard dry docks and other inspections. Participates in shoreside training as required by the company. Familiar with the ISM Code and requirements. Familiar with all duties under the company Safety Management System Desired Skills and Experience: Working knowledge of diesel propulsion and electricity generation systems. Knowledge of support systems such as fuel centrifuges, air compressors, pumps, hydraulics, water makers, hotel systems, plumbing, refrigeration, heating, and air conditioning is also preferred. Computer experience: Excel spreadsheet experience and Windows applications (including Word) are preferred. Professional demeanor; ability to use appropriate levels of tact and courtesy. Must be a self-starter, able to handle multiple tasks and work with little supervision and work in small spaces. Crisis management: Work well under pressure, act quickly, and decisively using sound judgment. Communication Skills: The Assistant Engineer will have some guest contact and must be professional and have the ability to present information and respond to questions. Ability to read, analyze and interpret professional journals, technical procedures, or governmental regulations. Must be able to provide concise and clear reports as required. Licenses, Certificates, Registrations: USCG DDE 4000 License required. STCW OICEW >1000 HP required. EPA Section 608 Technician Type 1 Certification required. Current First Aid/CPR/AED certification required. Valid TWIC card required. Valid US Passport required. Valid USCG Medical Card per STCW standard (2 years) STCW Basic Safety Training (BST) required. STCW Crowd Management (CM) required. STCW Advanced Fire Fighting Certification required. STCW Proficiency in Survival Craft and Rescue Boats Other than Fast Rescue Boats (PSC or PSC-Limited) required. STCW Vessel Personnel with Designated Security Duties (VPDSD) required. What We Offer Target base salary for this role based on experience and vessel: $300 - $450 daily rate + bonus Vacation Pay (10% of the daily rate for each day worked) 7 Paid Holidays Health insurance including Medical, Dental, Vision 401(k) plan with employer match Room and board when scheduled Travel Day Pay Travel Expenses Paid Travel benefits for employees and their family Uniforms Provided Training Opportunities Short Pay Emergency Coverage Pay Employment is contingent on the following: - In compliance with U.S. Coast Guard Regulations, 46 CFR Parts 4, 5, and 16, you will be required to undergo the following drug tests: post-offer prior to start date, random, reasonable cause, and serious marine incident per US Federal guidelines. - Pre-offer background check; employment is contingent upon the results of this screening. - Post-offer physical examination; your employment is dependent upon being determined fit for sea duty. Continued employment is dependent upon consent to and passing these tests. Lindblad Expeditions continues to highly recommend that all new hires be up to date with all vaccines prior to the first day of employment and getting boosted annually when eligible, including those vaccines that protect against COVID-19. All crew must still comply with all country-specific vaccination requirements. Communication Skills Using the English language, this person must have the ability to read, write, and comprehend policies, legal guidelines, correspondence, and memos. Must also possess the ability to effectively communicate--both in writing and orally--with a professional demeanor. PHYSICAL DEMANDS While performing the duties of this job, the employee is frequently required to sit, talk and hear. The employee will also be required to write and type. The employee is occasionally required to stand, walk, and reach with hands and arms. The physical demands per position are described in the Job Analysis sheet and are available to all applicants upon request. COMPENSATION STATEMENT Lindblad Expeditions determines the pay for positions using local, national, and industry-specific survey data. We evaluate external equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living. For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant's location, level of experience, education, and specialized knowledge and skills. An employee/candidate with a stronger skill set will receive higher pay. EQUAL OPPORTUNITY EMPLOYER STATEMENT At Lindblad Expeditions, we simply could not do our work without the diverse kaleidoscope of humanity that creates and delivers our remarkable offerings across the planet. As a Company that respects and celebrates the inherent diversity in the places we explore, we recognize the need to mirror that same diversity and all the interconnected perspectives within our organization. We are committed to building a community of different genders, races, ages, sexual orientations, chosen identities, and countries of origin where every person brings their whole self to work and whose skills, talents, and abilities are valued. We believe we can explore further and in a more meaningful way by actively creating a more diverse and inclusive organization where everyone feels they belong. Lindblad Expeditions is an equal opportunity employer. Individuals seeking employment at Lindblad Expeditions are considered without regard to race, sex, color, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status, or veteran status.

Job Description Caddi is a seed-stage startup reimagining automation for professionals by transforming simple screen recordings into fully automated workflows. We're building the first true AI-powered automation assistant for lawyers, financial advisors, and other knowledge workers who want to eliminate busywork-without changing how they work. We're a small, fast-moving team based in Seattle, and we're looking for a sharp, curious Software Engineering Intern to help us validate and improve the workflows built by our AI systems. You'll work at the intersection of engineering, AI, and real-world software tooling-helping us scale from semi-automated processes to truly intelligent automation. What You'll Do Contribute to the development and refinement of our AI-driven automation engine by improving how workflows are interpreted, validated, and executed. Write and debug Python and/or Go code to enhance core backend systems that interact with large language models and automation agents. Build lightweight tools to inspect, simulate, and evaluate AI-generated plans and their interactions with third-party systems. Collaborate closely with founding engineers to expand our AI pipeline's ability to generalize across user environments. Identify edge cases, inconsistencies, and learnings from real data to improve model prompts, heuristics, and product design. Requirements Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or related field. Comfortable with scripting and light backend development (Python and/or Golang experience preferred). Strong problem-solving and debugging skills-you enjoy figuring out how things work and making them better. Detail-oriented and methodical-you'll be working closely with real user workflows and production-level automation logic. Based in or able to work from our office in Seattle (Belltown). This is an in-person role. Benefits Work on the frontier of AI and automation in a fast-paced startup environment. Your contributions will directly shape our product, improve our AI system, and drive user impact. Great mentorship opportunity with experienced founders and engineers. Ideal experience for aspiring backend engineers, systems thinkers, or future founders. Compensation: $30-35/hour, depending on experience and time commitment (30-40 hours/week).

Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: We are an engineering company founded by engineers. We understand the value of a strong engineering team and strive to hire only the best engineering interns. We are seeking exceptional interns to join us in building a next-generation ML-based ad-serving platform to satisfy the various needs of our customers. As an intern, you can expect to be a full member of the team you join and will be treated as a junior engineer with the same expectations, project opportunities and responsibilities. Some examples of past intern projects are: Adding features to our high-performance, low-latency backend servers Enhancing our system in various aspects including but not limited to scalability, availability, and performance. Developing novel improvements to pricing theory and/or algorithms Designing / planning / shipping new features in collaboration with other engineers, PMs and UI Designers. Developing internal tools to enhance developer productivity and system efficiency. Turning unstructured logs, messages, and events into structured data that can be utilized for analytics, ML, and more. Designing and implementing the backend data pipelines for manipulating and managing big data. Developing APIs to deliver and / or demonstrate the results of advertising campaigns to customers. Minimum Qualifications: Able and willing to work from our Seattle, WA or Redwood City, CA office. Must be able to work full-time (40-hours per week) for 12-weeks during the summer of 2026 (May - September). Actively enrolled in a Bachelor's, Master's or PhD program in Computer Science, or a related technical field during the internship. Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining their degree by June of 2027. Preferred Qualifications: Strong background in data structures and algorithms. Strong coding and problem solving skills. Familiar with distributed systems and/or databases. Fluent with at least one programming language for server development like C/C++, Java, Go, Rust. For more information about our internship program, visit our website: Moloco Internship Program. Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom Equal Opportunity: Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. * Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. * Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. * Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize system-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement optimizations such as fusion, sharding, tiling, and scheduling * Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. 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 will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. 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. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - Bachelor's degree in computer science or equivalent - 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS- Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels. - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. 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.

Must Have Technical/Functional Skills: We are seeking an experienced AWS Data Engineer to join our data team and play a crucial role in designing, implementing, and maintaining scalable data infrastructure on Amazon Web Services (AWS). The ideal candidate has a strong background in data engineering, with a focus on cloud-based solutions, and is proficient in leveraging AWS services to build and optimize data pipelines, data lakes, and ETL processes. You will work closely with data scientists, analysts, and stakeholders to ensure data availability, reliability, and security for our data-driven applications. Roles & Responsibilities: Key Responsibilities: • Design and Development: Design, develop, and implement data pipelines using AWS services such as AWS Glue, Lambda, S3, Kinesis, and Redshift to process large-scale data. • ETL Processes: Build and maintain robust ETL processes for efficient data extraction, transformation, and loading, ensuring data quality and integrity across systems. • Data Warehousing: Design and manage data warehousing solutions on AWS, particularly with Redshift, for optimized storage, querying, and analysis of structured and semi-structured data. • Data Lake Management: Implement and manage scalable data lake solutions using AWS S3, Glue, and related services to support structured, unstructured, and streaming data. • Data Security: Implement data security best practices on AWS, including access control, encryption, and compliance with data privacy regulations. • Optimization and Monitoring: Optimize data workflows and storage solutions for cost and performance. Set up monitoring, logging, and alerting for data pipelines and infrastructure health. • Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver data solutions aligned with business goals. • Documentation: Create and maintain documentation for data infrastructure, data pipelines, and ETL processes to support internal knowledge sharing and compliance. Base Salary Range: $100,000 - $130,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

A globally leading consumer device company based in Seattle, WA is looking for a DevOps Engineer, Cloud Infrastructure to join their dynamic team! Job Responsibilities: • Manage Kubernetes clusters by performing improvements and regular maintenance. Perform cloud infrastructure operational tasks. • Perform Database administration tasks including migration, instrumenting of telemetry, performance monitoring, cost monitoring and consolidation. • CI/CD-focused projects that include implementing features for GitOps + software lifecycle tooling and processes. Required Skills:5 years of relevant experience 3-5 years experience with Kubernetes (configuration, operations, deployment),and related technologies: Helm, ArgoCD, GitOps. 3-5 years experience with AWS and database administration: Postgres, RDS (eg. Aurora) 3 years experience in Python + Bash scripting Operational Experience with cloud-based service infrastructure (DNS, loadbalancing, ingress, telemetry and logging) Type: Contract Duration: 9 months with extension Work Location: Seattle, WA (Remote) Pay range: $ 74.00 - $ 89.00 (DOE)

Team Introduction: The Recommendation Infrastructure Team is responsible for building reliable, efficient, flexible, and generic recommendation components, systems, and platforms. Our work supports the fast iteration and incubation of TikTok's recommendation products. We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in August/September 2026. Successful candidates must be able to commit to one of the following internship start dates below: (Select below options for Fall) * 8/10/2026 * 8/24/2026 * 9/8/2026 * 9/21/2026 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to: * Build and maintain high performance online services for TikTok recommendation system. * Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc. * Work with your mentor to build globalized large-scale recommendation system. * Design and develop high performance computing frameworks and storage systems.Minimum Qualifications: * Must be able to commit to a 12-week full-time work period during Fall 2026 * Currently pursuing an Undergraduate/Masters degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline. * Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang. * Effective communication skills and a sense of ownership and drive. * Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: * Graduating December 2025 onwards with intent to return to degree-program after the completion of the internship. * Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications. * Demonstrated experience in one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.