Sr. Software Engineer- Cloud Infrastructure and DevOps

What you'll do

• Lead and deliver infrastructure projects, coordinating technical work and improving engineering standards and operations.
• Troubleshoot production incidents, improve infrastructure automation, and support the scalability and reliability of AWS services.
• Build and integrate LLM-powered tools, AI automation, and internal platforms into developer tools, CI/CD, and observability workflows.

What they ask for

• 5+ years' experience in software development or a related field.
• 3+ years' experience operating distributed applications 24x7x365 in a Cloud Engineering, DevOps, and/or SRE team.
• Hands-on cloud infrastructure, programming or scripting, and container experience; hands-on experience building applications with LLMs or generative AI frameworks.
• Experience with prompt engineering, RAG, and LLM evaluation techniques.

Nice to have

• AWS experience; experience with ML model serving, vector databases, or embedding pipelines.

Pay

San Jose, California: ($143,500.00 - $212,850.00 Annually) USD base salary; Austin, Texas: ($130,500.00 - $193,600.00 Annually) USD base salary; Scottsdale, Arizona: ($123,500.00 - $183,700.00 Annually) USD base salary

Tools

AWS, EKS, Docker, GitHub Enterprise, Terraform, GitHub Actions, DataDog, Python

AI focus

Builds LLM-powered runbook and incident tools, AI-assisted infrastructure automation, and internal AI platforms; integrates AI into developer tooling and CI/CD, evaluates AI tools, and establishes responsible-use, safety, evaluation, and observability practices.