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Lead Site Reliability Engineer

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: Peraton
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer
Salary/Wage Range or Industry Benchmark: 130000 - 180000 USD Yearly USD 130000.00 180000.00 YEAR
Job Description & How to Apply Below
Required Qualifications
  • Bachelor’s degree and 8-10 years of relevant SRE, Dev Ops, cloud engineering, or infrastructure engineering experience; or 12 years of experience with a high school diploma.
  • Expert level hands on knowledge of AWS services across compute, networking, storage, IAM, and serverless components.
  • Strong experience with Infrastructure as Code (Terraform, Cloud Formation) and infrastructure automation principles.
  • Experience building CI/CD deployment pipelines and progressive delivery mechanisms using Git Hub actions or similar tools
  • Deep understanding of Kubernetes administration, container orchestration, and Docker based deployments.
  • Proven experience validating DR processes, performing system rebuilds, and conducting data integrity checks.
  • Experience building monitoring tools like dashboards, metrics, logs, and alerting systems using Cloud Watch, Datadog, or similar observability tools.
  • Proficiency with programming/scripting languages such as Python, Java, or C# or Go.
  • Experience debugging complex failure modes, including cascading failures, network partitions, back pressure, and eventual consistency issues.
  • Strong analytical and documentation skills with the ability to clearly communicate technical findings to cross functional teams.
  • Ability to work in a fast-paced environment supporting high visibility, mission critical systems.
  • Ability to obtain a Public Trust clearance.
  • US Citizen or Green Card Holder.
Preferred Qualifications
  • AWS Dev Sec Ops  Engineer certification (preferred).
  • Additional AWS certifications (Solutions Architect, Sys Ops, Developer) and/or Kubernetes certifications (CKA, CKAD).
  • Familiarity with Zero Trust security models and cloud security best practices.
  • Experience with Git Lab, Jenkins, or similar CI/CD platforms.
  • Experience with highly regulated environments (healthcare, finance, DHS, DoD, CMS, etc.).
  • Experience supporting federal, defense, or large scale enterprise programs involving legacy-to-cloud modernization.
  • Prior involvement in large-scale DR drills, continuity of operations (COOP), or portability/executable readiness assessments.

Peraton is seeking a Lead Site Reliability Engineer to join our team of qualified, diverse individuals. The ideal candidate will play a critical role in ensuring the reliability, resilience, and recoverability of mission essential platforms by leading infrastructure level disaster recovery drills, platform rebuild validation, and automated deployment processes. This engineer will partner closely with cross functional teams to maintain and enhance complex cloud-based environments, integrate modern automation solutions, and support large scale modernization and continuity efforts across high visibility programs.

Responsibilities

The Lead Site Reliability Engineer’s responsibilities shall include, but are not limited to:

  • Supporting full lifecycle platform portability and disaster recovery (DR) drill execution, including validation of platform rebuild procedures and DR playbooks.
  • Executing infrastructure level drill activities to ensure the platform can be fully rebuilt within the 48hour recovery target.
  • Verifying end to end data completeness, integrity, and accuracy during drill exercises, documenting results and remediation recommendations.
  • Identifying exit readiness gaps across infrastructure, deployment automation, monitoring, and data recovery processes, and driving corrective actions with engineering teams.
  • Designing, implementing, and supporting automated IaaC workflows utilizing Terraform, AWS Cloud Formation, and standardized CI/CD pipelines.
  • Managing and optimizing Kubernetes clusters and containerized workloads (Docker), including cluster provisioning, scaling, and workload reliability improvements.
  • Building and maintaining observability solutions using Cloud Watch, Datadog, and other monitoring/alerting tools to ensure service reliability and proactive incident response.
  • Developing automation, tooling, and scripts using Python or Java to reduce manual processes and enhance operational repeatability.
  • Collaborating with platform engineering, security, applications, and data teams to ensure consistent, secure, and compliant platform operations.
  • Participating in on-call rotations, root cause analyses, and incident response activities to improve system resilience and operational excellence.
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