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It starts with you - a senior ML engineer responsible for building, training, evaluating, and operating machine learning systems in production. The role focuses on data pipelines, model training, experimentation, evaluation, and scalable deployment.
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Design, train, and evaluate ML models for production use.
Build and maintain data pipelines for training, validation, and inference.
Own experimentation workflows: feature engineering, training runs, and comparison.
Implement model evals, monitoring, and drift detection.
Package and deploy models to production systems.
Optimize training and inference performance, cost, and reliability.
Collaborate with data, platform, and product teams.
Mentor engineers and promote ML engineering best practices.

It starts with you - an engineer driven to build resilient, automated infrastructure that enables teams to move fast with confidence. You care about operational excellence, developer experience, and reliability at scale. Youll architect and operate the compute and networking infrastructure that powers our AI platform - from CI/CD pipelines to Kubernetes clusters to observability systems - across cloud and on-prem environments.
If you want to build infrastructure that powers mission-critical AI systems at national scale, join our companys mission - this role is for you.
The Responsibilities
Architect and operate Kubernetes-based infrastructure across AWS and on-prem environments, ensuring high availability, security, and performance.
Design and maintain CI/CD pipelines for application and service deployments with automated testing, security scanning, and rollback capabilities.
Drive infrastructure-as-code practices for compute and networking - building reproducible, auditable, and version-controlled infrastructure.
Own reliability and incident response - establish SLOs, build alerting systems, lead incident resolution, and drive post-incident improvements.
Enable AI-native operations - support agentic deployment pipelines, self-healing infrastructure, and secure sandboxing for model experimentation.
Build and maintain observability systems - metrics, logging, tracing, and dashboards that provide visibility into system health.
Optimize infrastructure cost and performance - right-size resources, implement auto-scaling, and identify efficiency opportunities.
Collaborate with Engineering, Data Platform, Data Engineering, and Security teams to align infrastructure with platform needs.
Shape infrastructure characteristics that support data freshness, correctness, and low-latency pathways for AI training/inference, retrieval, and agentic workflows.
Contribute paved-road tooling - reusable CI/CD patterns for services, IaC modules for compute and networking, and runbooks - that streamline delivery across teams.
Collaborate with Engineering, Data Platform, Data Engineering, Security, Product, AI/ML, Data Science, and Analytics to anticipate and meet cross-functional needs.

We are on an expedition to find Technical Delivery Engineer, someone who is passionate about creating intuitive, out-of-this-world In this role, you will lead end-to-end implementation and deployment projects of our companys platform in customer environments, working hands-on with AI on-prem and hybrid infrastructures.
Youll collaborate closely with Product, Architecture, and R&D teams, while serving as a trusted technical partner for customers and senior stakeholders. From planning and execution to troubleshooting and continuous improvement, you will own the full delivery lifecycle and ensure every deployment is reliable, seamless, and impactful.
The Responsibilities
Lead end-to-end project delivery in close collaboration with Product, Architecture, R&D, and Solutions teams, as well as customer executives and senior stakeholders.
Plan, coordinate, and execute complex on-premises deployment projects.
Take a hands-on role in deploying our companys platform within customer environments.
Serve as the technical escalation point for issues related to product deployment and implementation.
Develop, maintain, and continuously improve project delivery processes and knowledge-sharing practices.
Communicate project status, milestones, risks, and dependencies clearly to internal teams and customer stakeholders, ensuring transparency and alignment throughout the delivery lifecycle.

Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI application foundation behind our next-generation cyber-AI product.
This team owns the core backend and frontend infrastructure that powers all user-facing applications - as well as the agentic and conversational frameworks that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform.
The Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure - the technical bedrock of our product experience.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and build robust frameworks and systems that power all customer-facing applications.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.

We are on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building our company's Sensor.
This team owns the entire endpoint agent, which is the backbone of our companys collection capabilities from Windows and Linux endpoints.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the agent that enables our fully AI-driven platform to identify and respond to real-time advanced persistent threats.
The Responsibilities
Lead a team responsible for the endpoint product on Windows and Linux systems.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and code production-grade C++ to create robust and high-performance software applications.
Collaborate with backend, frontend, research and other teams within the company to deliver state-of-the-art solutions for challenging problems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices and guidelines.

We are on the lookout for an experienced engineer to join our DevOps team who is passionate about software design, development, and deployment.
The role focuses on designing, building, and maintaining production-grade cloud solutions, ensuring scalability, reliability, and security. You will manage CI/CD pipelines, automate deployments, monitor system performance, and collaborate across development teams to deliver resilient infrastructure in a rapidly evolving environment.
The Responsibilities
Collaborate closely with development teams to define and implement infrastructure requirements that support scalable, secure, and efficient operations.
Develop and maintain internal tools to automate workflows, streamline development processes, and enhance monitoring and operational efficiency.
Diagnose and resolve issues across development, testing, and production environments to ensure system stability and optimal performance.

We are looking for an experienced Senior DevOps Engineer to join our DevOps team who is passionate about software design, development and deployment. The job involves writing production-grade modern DevOps solutions that will be shipped to the cloud and on-prem solutions.
The Responsibilities
Build the best solutions for our production platform.
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes
Build and maintain tools for automation, deployment, monitoring, and operations
Troubleshoot issues in our development, production, and test environments
Excellent communication and people skills
Work well in a team!

we are looking for a DevOps Engineer.
Responsibilities:
Collaborate closely with development teams to streamline processes.
Design, build and operate Kubernetes infrastructure and orchestration in Production.
Design, implement, and maintain automation workflows, scripts, and CI/CD pipelines.
Ensure infrastructure and application reliability, observability, performance, and security.

We are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.
Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment

We are looking for an engineer with the ability to thrive in an environment with complex software and hardware designs, who can take ownership, and lead the development of key SW components for Amazon network cards.

You will take part in developing, integrating, and deploying advanced networking technologies, starting from the identification and definition of project requirements, feature development, deployment and operational support, on a very large scale.

As part of your role you will join a team of engineers who are developing software implementing our RDMA technology, for Machine Learning and High Performance Computing (HPC) customers.

Your code will run on millions of servers worldwide, as part of the Nitro system. Not many software engineers in the world have the opportunity to create code that runs at such a large scale.
The role includes working closely with HW, FW, and SW teams all over the world.

We are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.
Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment.

We are looking for exceptional software engineers to help develop the next generation chips based on a revolutionary architecture.
In this job you will design and develop software for functional and performance validation.

Key job responsibilities:
In this role you will develop system level software, targeting chip architecture, functional correctness and performance, running on various platforms and validating chip functionality.

Were growing and looking for a hands-on CAD Engineer who loves building tools that engineers actually enjoy using.
If you like moving fast, owning features end-to-end, and collaborating with smart people across disciplines-come build with us.
Responsibilities
Partnering with multiple engineering disciplines to define, improve, and maintain CAD/EDA development methodologies
Building CAD desktop applications that support EDA solutions and real design workflows
Writing production-quality code, plus unit tests that keep things solid as we scale
The team's vibe:
We value innovation, teamwork, and ownership
Youll have real impact, real autonomy, and a team that actually ships.

As a software developer in this role, you will have the opportunity to design and deliver the development of engaging features for millions of customers. You will be an integral part of a passionate and creative team that encourages experimentation and innovation on behalf of our customers. You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon. Along the way, youll learn a lot, have fun and make a positive impact on millions of people.

We are looking for a talented Full-Stack Software Development Engineer with a strong technical background, customer obsession and bias for action with a track record of leading and delivering robust solutions quickly. Strong judgment and communication skills, long-term technical vision, and continuous focus on engineering and operational excellence are essential for success in this role. You will be expected to take ownership, be proficient technically, mentor and grow junior developers, encourage software development best practices, and iterate quickly.

Key job responsibilities:
- Design, build, test, and operate features for the Interests experience across web and mobile surfaces.
- Deliver end-to-end solutions with focus on maintainability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Understand latest trends in mobile technology and work across Amazon mobile teams.
- Build AI-powered experiences including personalized updates, relevance explanations, and contextual recommendations.
- Implement analytics events and experiment configurations to measure engagement and retention.
- Relish the idea of solving problems and be comfortable with a degree of ambiguity thats higher than most projects.