Feed infrastructure health into release pipelines so releases reflect real hardware state
Partner with hardware, firmware, network and test teams to set standards and clear ownership
Write runbooks, join on-call, and lead root-cause reviews
A day in the life
You might start by reviewing overnight health reports for the regression systems and checking that every system is configured, connected and ready. Then you could dig into a recurring failure, write the automation that detects and repairs it, and add a health check so that release pipelines see the result. In the afternoon you might review a teammate's design, join a call with hardware or network engineers to agree on a recovery approach, or plan the next site rollout. Your work keeps releases moving, so every hour you save is an hour sooner that new hardware reaches customers.
About the team
Manufacturing Automation & Deployment, part of Annapurna ML, builds and runs the software platform that tests and validates AWS Trainium hardware at manufacturing sites worldwide. We deliver test software to active production lines with the release discipline of a cloud service: staged rollouts, regression gates, automated alarming and fast rollback. Our work directly enables the manufacturing ramp of AWS's custom AI chips.
Machine Learning Accelerators (MLA) is building AI-native racks faster than anyone in the industry, from custom silicon to full rack assembly, and every engineer who joins has room to make a real impact on it.
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
3+ years of software development, or 3+ years of non-internship professional software development experience
BS in Computer Science, Computer Engineering or equivalent
Proficiency in at least one of: Python, Go, TypeScript, Java or C++
Experience with Linux systems and networking fundamentals
Experience automating server and network device management, including firmware updates and out-of-band management
Experience building monitoring, alarming and automated remediation for hardware infrastructure
Experience operating systems across multiple sites, including edge or on-premises environments
Experience with AWS, infrastructure as code (CDK, CloudFormation or Terraform) and CI/CD pipelines
Familiarity with hardware test automation, hardware validation or manufacturing systems
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually
