Senior Java Developer jobs at Agile Enterprise Solutions

In this role you will be responsible for leading a technical team which is critical in providing compute sanitization to the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for identifying defects or faulty states of the hardware before the customer hits an issue. Neuron Compute Sanitizer Tools develops and maintains a pre-check and functional correctness checking suite and provides visibility at the fleet level to understand the trends of hardware/software sanitization. Key job responsibilities * Provide technical leadership to the Compute Sanitization team * Work closely with the hardware and firmware design teams. * Collect requirements from various other teams including training, inference and runtime. * Collaborate with the runtime team to ensure timely release of the pre-check tools. * Anticipate future needs based on the product roadmap and develop necessary tools to sanitize compute. About the team 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. 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. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Utility Computing (UC): AWS Utility Computing (UC) provides 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, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. 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. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. BASIC QUALIFICATIONS- 10+ years of engineering experience - 10+ years of planning, designing, developing and delivering consumer software experience - Experience partnering with product or program management teams - Experience as a tech lead of a large group of engineers PREFERRED QUALIFICATIONS- Experience designing and developing large scale, high-traffic applications - Experience with ML hardware/Software 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.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale large language models like LLama4, Mixtral, DBRX and beyond, as well as stable diffusion, Vision Transformers and many more. The Distributed training team works side by side with chip architects, compiler engineers and runtime engineers to create , build and tune distributed training solutions with Trainium. Experience training these large models using Python is a must. FSDP, Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities This role will help lead the efforts building distributed training support into Pytorch and Jax using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium . Strong software development and ML knowledge are both critical to this role. About the team About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 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 PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 2+ years of experience with ML system design, including model architecture, and scalable training and inference systems - Experience with modern ML frameworks (TensorFlow, PyTorch, JAX, or similar) and programming in Python or similar languages 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 $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.

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Chassis Software team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and develop the software and firmware to drive, support and sustain these technologies as they evolve though concept and manufacturing, and finally take their place in our rapidly expanding fleet of cutting edge Machine Learning products our customers demand. Key job responsibilities - Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers. - Continuously collaborate with other server and board software teams responsible for accelerator management firmware and other programmable logic devices. - Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment. - Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing. A day in the life The MLA Chassis Software team was formed to focus on board firmware primarily for mission-mode control of sensors and other board-level hardware. This includes debug, testing, qualification, and manufacturing. We touch technologies from device drivers to the I2C infrastructure pervasive in the server and everything in between. We are not working on machine learning algorithms, but rather we work on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, and device control are our bread and butter. Some of us know what a Tensor is but really it's not what we do. About the team 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- 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 - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent - Experience writing software for DDR/HBM controllers and PHYs 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.

Our client is looking for an experienced AWS DevOps engineer consultant who is fluent in managing enterprise multi-region AWS deployment utilizing Terraform and GitOps. This resource is expected to contribute to a current high priority AWS migration project immediately. The successful candidate will collaborate with the client's Infrastructure Engineering team. Responsibilities:Develop greenfield backend services using Java 17/21 on AWS Lambda Enhance existing applications using Java 17 and Spring Boot on ECS Fargate Interact with Oracle databases using SQL and PL/SQL Develop new front-end pages with HTLM, CSS, Bootstrap and AJAX Enhance existing front ends using Thymleaf, HTML, CSS and AJAX Write thorough, correct unit tests using Junit and Mockito Deploy code using Jenkins Modify IaC using Terraform Interact with end users to determine requirements Minimum Requirements / Education:Bachelor's Degree Strong proficiency in Java 17/21 Experience working with Oracle databases Experience building front ends using HTLM, CSS, Bootstrap and AJAX Experience writing Unit tests with Junit and Mockito Exposure to AWS Lambda and ECS Fargate Excellent Communication skills Highly adaptable and resilient under pressure Independent worker able to clear their own blocks Nice to Have:Experience with HTMX Experience with Terraform

Come Work At Cactus! We are the 24/7 AI copilot built specifically for home services companies (plumbing, HVAC, electrical). It answers every call, qualifies leads, follows up, and books jobs - ensuring no opportunity is ever lost, day or night. We are a team of builders who are not afraid to create products in the most unconventional way. The co-founders, Ajith and Avinash, have known each other for over 18 years and are on a life mission to help SMBs become wildly successful. We are just getting started, and our vision is to build the AI Operating System for home services. If you vibe with this and want to be a part of the team, read on! About Cactus & the team We're a well-funded (read our latest funding announcement), YC-backed seed-stage startup with a mission to build the AI Operating System for SMBs. We're still in the early days, and you will get to shape the product. We have seen great traction and product-market fit with customers who love what we've built. We've built something truly special that's making a real impact in the small business space. We're a no-nonsense team of high-performing contributors and builders, and we wear multiple hats. We are in-person, working out of San Mateo. Here are the core values and principles that define us: Product at Core: Our mission is to go beyond utility, sparking joy and delivering real value with product. We design with the user in mind, ensuring that every interaction is meaningful, intuitive, and leaves a smile! One Team Always: We are the best of the best, holding ourselves to the highest standards. We push together for collective success-when one wins, we all win; when one struggles, we all step up to support. Being Nice: We default to kindness and respect in every interaction. It's about choosing empathy, practicing patience, and creating a culture where being nice isn't just encouraged-it's our natural instinct. Focus and Execute: We focus on action and rapid learning, using each experience to drive growth. By building, testing, and refining quickly, we ensure every step brings us closer to a bigger impact. About the job We're all-in on Ruby on Rails, and our platform is a majestic monolith with a voice orchestration layer. Of course, we use "AI" with various LLMs, STT, and TTS models. We ship fast and continuously without running in circles, delivering work that matters. As a founding team member, you'll be working very closely with Avinash, the co-founder & CTO to build the product. I love working with smart people who simply love building products. You will have the autonomy to own and ship features end-to-end. Your role will involve developing new features, shaping the product, building and scaling our AI platform, internal tools, integrations, and most importantly, ensuring our entire tech-stack is robust About You You take pride in your work and have always done an excellent job everywhere you've gone. We have an ambitious goal, and as such, we've built a team of A-players. If you want to work with others like you, this is the place. You're a self-starter manager-of-one who can take ownership of large features - architect, build, and deploy them to production independently. You must enjoy writing code (yes, we love to vibecode) and creating delightful products. As with all early-stage startups, you're excited to wear multiple hats and eager to learn. Having experience building web applications end-to-end with Ruby on Rails is key. Some experience with implementing AI will be a plus! You must also be comfortable with the staples of full-stack web development: HTTP, HTML, JavaScript, and CSS. We care about what you can do and how you do it, not about your credentials. Whether you have a Computer Science degree or took a different path, what matters to us is your skill set, your mindset, and your ability to deliver. Perks Competitive salary: $120-150k base salary + meaningful equity Work in person with an energetic, highly collaborative team! Small founder-led, no-nonsense team Create a real-world impact Build with autonomy Company offsite to attractive locations Health, dental, life, and vision insurance How to Apply & Process Submit your resume here Complete a Call with Maya, our AI assistant: ************************* Write us why you are interested at *****************. Resumes are great but we'd love to see that you know how to write and can communicate effectively. Don't go overboard, under 500 words is more than enough. Call with CTO founder - assess background and technical alignment Onsite Interview to meet the team, including our CEO Ajith - (you get to know the company and we get to know you) Two-week paid work trial Offer

The position is 100% remote. The software team is based in Colorado and seeks to hire Colorado-based engineers so they can meet up for team-building events a few times a year. 3-month Contract to Hire, client is currently unable to offer sponsorship. Please, no C2C. We are seeking a Mid-Level Full Stack Software Engineer with strong expertise in backend Java and Spring Boot development. This engineer will contribute to designing, building, enhancing, and maintaining internal applications and services. This role operates entirely on-premise (no cloud environment), and works closely with cross-functional technical teams to deliver secure, reliable, and scalable software solutions. Experience with CI/CD pipelines is a strong plus but not a requirement. Responsibilities Back-End Development Design, develop, and maintain backend services using Java, Spring Boot, and related frameworks. Implement RESTful APIs, integrations, and data processing logic. Optimize application performance, reliability, and scalability. Write clean, maintainable, well-documented code aligned with internal standards. Full Stack Contributions Support and maintain front-end components (React, Angular, or similar), including UI enhancements and bug fixes. Collaborate with UI/UX designers to support modern, user-friendly interfaces. Systems & Collaboration Operate within an on-prem environment (no cloud deployment). Work closely with product owners, business analysts, QA engineers, and other developers throughout the SDLC. Participate in code reviews, requirement discussions, and architectural design sessions. Assist in troubleshooting, debugging, and resolving production issues. DevOps (Nice to Have) Contribute to or utilize CI/CD pipelines for automated builds, testing, and deployments. Work with tools such as Jenkins, GitLab CI, Bamboo, or similar on-prem pipeline tools (optional). Required Qualifications Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent experience). 3-5 years of professional software engineering experience. Strong proficiency with: Java Spring Boot / Spring Framework REST API development Experience with relational databases (PostgreSQL, Oracle, MySQL, etc.). Solid understanding of source-control systems (Git preferred). Ability to work in on-premise environments with traditional deployment models. Strong analytical, problem-solving, and communication skills. Preferred / Nice-to-Have Experience with CI/CD pipelines (Jenkins, GitLab, Bamboo, TeamCity, etc.). Basic front-end experience (React, Angular, Vue, or vanilla JavaScript). Experience working within regulated or highly secure software environments. Familiarity with message queues, integration patterns, or on-prem enterprise systems.

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

Windows Application Developer (Kernel/Networking) Our client is seeking a Windows Application Developer with deep expertise in Windows kernel-level programming, networking, and enterprise security. This role focuses on building native agents for Windows (and some mac OS), leveraging WFP for firewalling, packet filtering, and enterprise VPN/ZeroTrust solutions. The ideal candidate is a true systems programmer who thrives in OS internals, networking stacks, and cross-platform agent development. Key Responsibilities Architect, develop, and maintain native Windows and mac OS agents using platform APIs, kernel interfaces, and WFP. Design and implement kernel-level networking solutions (firewalls, packet routing, VPNs, ZeroTrust). Develop Windows drivers and system components with WDK/Win32 APIs; ensure code signing and driver certification. Leverage BSD networking knowledge and mac OS Network/System Extensions for packet filtering and routing. Build cross-platform agent frameworks using Rust (40%) and Python (30%), with familiarity in Tauri/React UIs. Debug production issues including kernel crashes, driver bugs, and network failures. Implement observability stacks (Prometheus, Grafana, OpenTelemetry, ELK/Loki) for cross-platform monitoring. Collaborate across teams to deliver secure, stable, and high-performance networking solutions. Qualifications 6-8+ years in systems programming with a strong focus on Windows internals. Expertise in Windows Filtering Platform (WFP), Windows Driver Kit (WDK), Win32 APIs, and kernel networking. Strong knowledge of IP networking, routing protocols, DPS, firewalls, and BSD networking stacks. Proven experience shipping enterprise VPN, ZeroTrust, or endpoint security (XDR/MDR) solutions. Advanced skills in C programming, with proficiency in Rust and Python for cross-platform agent work. Familiarity with Tauri/React (front-end awareness, not a UI developer). Hands-on debugging with tracers, profilers, crash dumps, and system performance tools. Strong problem solver and constant learner with proven ability to ship modern, secure solutions. Additional Info Location: Dallas, TX U.S. Citizen or Green Card Holder only. Work split: ~30% kernel development, 40% Rust, 30% Python. Interview Process: Recruiter screen → technical deep dive (kernel/networking) → peer panel.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

Our client, a well-funded and successful Series B Health tech startup is searching for a Senior/Lead Software Engineer to help them build a brand new service line to add to their existing product. This is an incredibly impactful role with the chance to build a product from 0-1, & also help connect patients with life-saving clinical trials and programs! This is a hybrid role near Bryant Park in NYC - please take this into consideration when applying. They do have a dog friendly office & unlimited PTO! Responsibilities: Create a brand new software product using Node, Typescript & React Lead the entire build from design to deployment - working with a small team of developers Hands on code, as well as lead code reviews & translate requirements into roadmaps and deliverables Collaborate with GM, Director of Product and engineering team Qualifications: 6+ years of Full-stack engineering experience in Typescript, Node, & React or Next.js Experience building products from 0-1 in small teams This is a hands on coding role - some engineering leadership is great, but this person will not be a "people manager" High agency worker who thrives in autonomous environments - must be comfortable owning and managing technical roadmaps Experience designing and scaling microservices architectures in AWS, GCP, Azure Experience in Health tech is a huge plus - especially familiarity with EHR integrations Compensation for this role ranges from $190-220k + potential bonus/equity. If you are interested, please apply! This opportunity unfortunately cannot sponsor visas at this time.