Amazon · 5 days ago
MTS, Developer Experience
Amazon is seeking a Member of Technical Staff to join their AGI Autonomy organization, focusing on enhancing the developer experience for AI research. The role involves designing and implementing development environments, managing CI/CD pipelines, and optimizing infrastructure to support large-scale AI research workflows.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Design and implement a modern, fast, and ergonomic development environment for AI researchers, eliminating current pain points in build times, testing workflows, and iteration speed
Build and manage CI/CD pipelines (CodePipeline, Jenkins, etc.) that support large-scale AI research workflows, including pipelines capable of orchestrating thousands of simultaneous agentic experiments
Develop tooling that bridges local development environments with remote supercomputing resources, enabling researchers to seamlessly leverage massive compute from their IDEs
Manage and optimize code repository infrastructure (GitLab, Phabricator, or similar) to support collaborative research at scale
Implement release management processes and automation to ensure reliable, repeatable deployments of research code and models
Optimize container build systems for GPU workloads, ensuring fast iteration cycles and efficient resource utilization
Work directly with researchers to understand workflow pain points and translate them into infrastructure improvements
Build monitoring and observability into development tooling to identify bottlenecks and continuously improve developer experience
Design and maintain build systems optimized for ML frameworks, CUDA code, and distributed training workloads
Qualification
Required
5+ years of experience in DevOps, release engineering, or developer tools/infrastructure
Expertise with shell scripting and command-line tools (bash, zsh, etc.)
Experience managing CI/CD systems such as AWS CodePipeline, Jenkins, CircleCI, or similar platforms
Hands-on experience managing code repositories and version control systems (GitLab, GitHub, Phabricator, etc.)
Proficiency in at least one programming language (Python, Go, Rust, or similar) for automation and tooling development
Experience building and maintaining developer tooling or infrastructure at scale
Strong understanding of containerization (Docker, containerd) and container orchestration
Preferred
Experience with release management and maintaining large-scale software deployments
Knowledge of container build internals (Docker multi-stage builds, BuildKit, layer caching optimization)
Experience working with GPU infrastructure and CUDA development workflows
Background in IDE development or customization (VSCode extensions, JetBrains plugins, etc.)
Experience building development tools for machine learning or data science teams
Knowledge of ML frameworks (PyTorch, TensorFlow) and their build/dependency requirements
Experience with AWS developer tools and services (CodeBuild, CodeDeploy, CodeCommit, etc.)
Benefits
Equity
Sign-on payments
Medical
Financial
Other forms of compensation
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Recent News
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