Platform and Reliability Engineer, Lead

Platform and Reliability Engineer, Lead

The Opportunity:

Build and operate the secure, reliable foundation for enterprise agentic AI. You will provide the cloud infrastructure, shared runtimes, model access, deployment pipelines, and observability services that enable engineering teams to deliver and operate AI solutions.

You will automate environments and security controls, monitor availability, latency, throughput, token consumption, and cost, and lead shared-platform incident response and recovery. Working with AI Engineering, Data Engineering, and Forward-Deployed Engineering, you will validate operational readiness and maintain deployment standards and runbooks. Your accountability centers on shared platform reliability, security infrastructure, and production operations. Due to the nature of work performed within this facility, U.S. citizenship is required.

Join us. The world can’t wait.

You Have:

Experience building and operating production infrastructure in AWS, Azure, or Google Cloud, including networking, identity, secrets management, and access controls

Experience with infrastructure as code, containers, orchestration, and CI/CD pipelines, including automated security and deployment checks

Experience applying site reliability engineering practices, including service objectives, alerting, incident response, capacity planning, and disaster recovery

Experience implementing centralized logs, metrics, distributed traces, and dashboards to diagnose production failures and performance issues

Knowledge of LLM operational requirements, including model gateways, rate limits, retries, timeouts, runtime isolation, and consumption costs

Ability to automate operational workflows using a language such as Python or Bash, and troubleshoot distributed systems

Ability to document support responsibilities, evaluate readiness evidence, and coordinate technical handoffs across teams

Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

Bachelor's degree

Nice If You Have:

Experience with Kubernetes, Terraform, Open Telemetry, Lang Smith, Langfuse, or comparable tools

Experience operating model gateways or AI workloads and implementing LLMOps practices

Experience with Fin Ops, automated recovery, performance testing, or secure enterprise environments

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.

Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $ (annualized USD). The estimate displayed represents the typical salary…