Build and maintain CI/CD pipelines for infrastructure-as-code and service deployments
with comprehensive testing and safe rollback mechanisms.
Take ownership of platform reliability, performance, and cost efficiency from initial design
through production operation.
Drive Results Through Automation and Observability
Develop monitoring, diagnostics, and alerting systems that surface actionable insights on
efficiency, utilization, reliability, and cost trends.
Establish incident response processes, runbooks, and documentation that enable
operational excellence.
Proactively anticipate system failures and implement preventive measures, reducing
operational toil and improving system resilience.
A day in the life
Each day you will work with some of the best engineers in the industry to develop Machine
Learning Accelerators. On-site in Austin, Texas, you will be part of the team that develops
custom silicon and contribute to the infrastructure that enables this innovation.
You might start your day investigating anomalies in job completion rates or resource utilization
patterns. You could spend your morning collaborating with a design verification team to optimize
their regression workflows, identifying bottlenecks and proposing improvements. In the
afternoon, you might be building new tooling that simplifies infrastructure access for emulation
teams, or contributing to monitoring dashboards that give teams real-time visibility into their
development velocity.
You'll participate in design reviews, contribute to postmortems when incidents occur, and
continuously refine the systems that accelerate the path from RTL to silicon. Throughout the
day, you'll balance immediate customer needs—unblocking a team waiting for compute capacity
—with longer-term platform investments. You'll write code, review infrastructure-as-code
changes, and collaborate across teams who depend on the systems you build.
Take a look inside our labs to see what you will learn at Annapurna Labs:
https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes-
custom-chips
https://youtu.be/rViVFrQg4Hk
About the team
At Annapurna Labs, your infrastructure work directly enables breakthrough innovations in
custom silicon that power AWS and transform industries. You'll collaborate with world-class chip
designers, verification engineers, and software developers who are pushing the boundaries of
what's possible. We offer the resources and scale of AWS with the innovation culture and
technical depth of a focused silicon team.
If you're passionate about building infrastructure that accelerates innovation, thrive on customer
obsession and ownership, and want to see your work enable the next generation of AWS silicon
—we want to hear from you
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
2+ years of non-internship professional software development experience
2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
Knowledge of systems engineering fundamentals (networking, storage, operating systems)
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or a related field
Experience programming with at least one modern language such as C++, C#, Java,
Python, Golang, PowerShell, Ruby
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
Experience with Linux/Unix
Experience in automating, deploying, and supporting large-scale infrastructure
Experience building services using AWS products
Experience with CI/CD pipelines build processes
Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust with demonstrated ability to write production-quality, maintainable code
Experience utilizing AWS cloud solutions in a DevOps environment with infrastructure as code (CloudFormation, Terraform, CDK)
Experience with high-performance computing (HPC) clusters using workload schedulers like Slurm
Familiarity with semiconductor development workflows or electronic design automation (EDA) environments
Experience with monitoring, observability, and incident management at scale
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
