Platform and Reliability Engineer, Lead

Job description

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, OpenTelemetry, LangSmith, Langfuse, or comparable tools Experience operating model gateways or AI workloads and implementing LLMOps practices Experience with FinOps, 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 $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite : If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.