Senior Site Reliability Engineer (AI/LLM)

Location: San Jose, United States; fully in-person schedule up to 5 days a week

Salary: $187,040–$359,720 annually, plus potential discretionary bonuses, incentives, and restricted stock units.

Company

A USDS joint venture focused on data privacy, cybersecurity, national security, and trust and safety for applications serving American users.

What you will do

• Manage day-to-day operations of realtime and batch data services and pipelines, including SLA/SLO/SLI management, deployments, performance tuning, and troubleshooting.
• Design and deploy AI agents and LLM-powered automation for incident response, root cause analysis, monitoring, and runbook matching.
• Build internal administration platforms and automation that reduce operational toil and improve engineering velocity.
• Participate in on-call rotations providing 24-hour coverage, lead incident response and postmortems, and serve as Incident Commander for high-severity issues.
• Own service lifecycle activities including design, capacity planning, launch reviews, deployment, operation, and refinement.
• Partner with Product and Development teams to embed observability, scalability, and disaster recovery into new features, while mentoring junior engineers.

Requirements

• Bachelor’s degree or higher in Computer Science or a related technical discipline.
• At least 5 years of professional experience in SRE, DevOps, or infrastructure engineering.
• Experience integrating AI and LLM APIs into internal workflows for log analysis, alert contextualization, or diagnostic assistance.
• Deep knowledge of Unix/Linux internals, networking fundamentals, and distributed systems architecture.
• Experience designing and scaling observability stacks with Prometheus, Grafana, or Datadog.
• Ability to troubleshoot complex production issues across the entire technology stack.

Nice to have

• Experience building agentic workflows and orchestration frameworks for incident triage and runbook matching.
• Advanced use of AI-assisted development tools for infrastructure-as-code and automated documentation.
• Strong technical proficiency with Kubernetes and big data technologies such as Kafka.

Culture & Benefits

• Fully in-person work supports rapid alignment, real-time decision-making, and integrated execution.
• Medical, dental, and vision insurance from day one, plus a 401(k) plan with company match.
• Paid parental leave, short- and long-term disability coverage, life insurance, and wellbeing benefits.
• 10 paid holidays, 10 paid sick days, and 17 days of paid personal time with increasing accrual by tenure.
• Inclusive workplace committed to diversity, reasonable accommodations, curiosity, and continuous improvement.