DevOps Engineer, Staff

Lockheed Martin

Quick summary

Work type
On-site
Location
Fort Meade, MD
Salary
$128,200–$225,975 / yr
Posted
3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k
This role $177k
$116k most similar roles pay here $238k

This role pays less than 52% of similar roles. Most pay $135,574–$221,000 — the shaded band above. At the midpoint, this role pays about $177k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Lockheed Martin

Lockheed Martin is a global aerospace, defense, and security company that designs, develops, and manufactures advanced technology systems, products, and services for government and commercial customers worldwide.

Lockheed Martin currently has 611 open roles on FindRole.

Listed pay typically runs $101,000–$178,135 across 304 roles with salary data.

Most-posted roles

View all roles at Lockheed Martin

At a glance

TL;DR · DevOps Engineer, Staff

As a Senior DevOps Software Engineer at GG, you will lead the development and deployment of mission-critical satellite communication systems using C++ or Python. Your day-to-day responsibilities include designing and maintaining Kubernetes pipelines for application deployment, managing high-availability clusters, debugging software defects, and optimizing GPU resources with CUDA. You will also collaborate closely with system architects and project managers to ensure timely delivery that meets user requirements. Essential skills include Kubernetes administration, advanced Linux configuration, Ansible playbook design, Python scripting, and experience with networking concepts such as VLANs. This role requires a deep understanding of RF data processing and application development in performance-critical environments, ensuring the smooth operation of complex systems at scale.

What you'll do

  • Design and implement DevOps pipelines for C++ or Python applications using Kubernetes.
  • Manage and configure high-availability Kubernetes clusters with Rancher and RKE2.
  • Debug defects in software, utilizing effective troubleshooting techniques to resolve issues efficiently.
  • Configure and optimize GPU resources for performance-critical applications using CUDA.
  • Implement automated testing and deployment scripts using Jenkins or GitLab CI/CD.
  • Maintain comprehensive documentation for software designs and processes.

What we're looking for

  • Proficient in Kubernetes cluster design, deployment, and management.
  • Experience with DevOps principles including GitOps, CI/CD pipelines, and automated testing.
  • Strong Linux (RHEL) skills for OS configuration, troubleshooting, and service management.
  • Knowledge of networking concepts such as switching, routing, VLANs, and network security.
  • Familiarity with development tools like Python, Bash scripting, YAML, JSON, and Git workflows.
  • Ability to collaborate effectively across cross-functional teams and communicate technical concepts clearly.

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