Remote DevOps Engineer - Observability & Cloud Automation

Lockheed Martin Corporation

Warren (MI)

Hybrid

USD 69,000 - 100,000

Full time

11 days ago

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Benefits offered by this job

Mentorship
Benefits
Remote-friendly schedule

Job summary

Lockheed Martin is seeking a mid-level DevOps Engineer in Michigan who can transform vague requests into a documentation-first, precise system that does exactly what is asked. The role emphasizes on-call responsiveness, incident postmortems, and strong CloudFormation experience, with a path toward expanding responsibilities and mentorship within a client-focused MI technology team.

You will work on resilience and observability tooling, including ELK pipeline integration and AWS ECS migration

Qualifications

  • Hands-on CloudFormation experience
  • Ability to write tidy, helpful documentation
  • Experience with incident postmortems and on-call rotations
  • Interest in Site Reliability Engineering initiatives and proofs of concept

Responsibilities

  • Read resilience stack traces and trace bugs to root causes
  • Respond to on-call rotations and participate in incident postmortems
  • Track and report on key performance metrics for technology services
  • Integrate GitLab CI events with the ELK Stack for reporting
  • Migrate or manage AWS ECS in Michigan region
  • Establish observability to detect failures early
  • Translate Lambda metrics into leadership dashboards
  • Spike SRE proof-of-concept when a decision is needed

Skills

CloudFormation
Documentation
Incident response
Site Reliability Engineering

Job description

Lockheed Martin is seeking a mid-level DevOps Engineer in Michigan who can transform vague requests into a documentation-first, precise system that does exactly what is asked. The role emphasizes on-call responsiveness, incident postmortems, and strong CloudFormation experience, with a path toward expanding responsibilities and mentorship within a client-focused MI technology team.

You will work on resilience and observability tooling, including ELK pipeline integration and AWS ECS migration

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