Platform and Reliability Engineer, Lead

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$99,000–$225,000 / yr
Employment
Full-time
Posted
10 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k
This role $162k
$83k $251k
below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $151,000–$213,200 — the blue band above. At the midpoint, this role pays about $162k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1660 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 908 roles with salary data.

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At a glance

TL;DR · Platform and Reliability Engineer, Lead

The Platform and Reliability Engineer, Lead will build and operate the secure, reliable foundation for enterprise agentic AI. Working with AI Engineering, Data Engineering, and Forward-Deployed Engineering teams, you will provide cloud infrastructure, shared runtimes, model access, deployment pipelines, and observability services. Your daily responsibilities include automating environments and security controls, monitoring availability, latency, throughput, and cost, and leading shared-platform incident response. You will utilize AWS, Azure, or Google Cloud, infrastructure as code, containers, orchestration, and CI/CD pipelines. Required skills include site reliability engineering practices, centralized logging, distributed tracing, and Python or Bash. You must address LLM operational requirements like model gateways and rate limits while managing production operations and security infrastructure within a secure enterprise environment requiring U.S. citizenship.

What you'll do

  • Build and operate cloud infrastructure, shared runtimes, and deployment pipelines for enterprise agentic AI.
  • Automate environments and security controls using infrastructure as code and CI/CD pipelines.
  • Monitor system availability, latency, throughput, token consumption, and operational costs.
  • Lead shared-platform incident response, recovery efforts, and disaster recovery planning.
  • Implement centralized logging, metrics, and distributed tracing to diagnose production failures.
  • Manage LLM operational requirements including model gateways, rate limits, and runtime isolation.
  • Automate operational workflows and troubleshoot distributed systems using Python or Bash.
  • Validate operational readiness and maintain deployment standards and runbooks across engineering teams.

What we're looking for

  • U.S. citizenship is required.
  • Experience building and operating production infrastructure in AWS, Azure, or Google Cloud.
  • Experience with infrastructure as code, containers, orchestration, and CI/CD pipelines.
  • Experience applying site reliability engineering practices including incident response and capacity planning.
  • Experience implementing centralized logs, metrics, distributed traces, and dashboards.
  • Knowledge of LLM operational requirements including model gateways and runtime isolation.
  • Ability to automate operational workflows using Python or Bash and troubleshoot distributed systems.
  • Bachelor's degree.

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