DevOps Engineer @ Lockheed Martin
Salary: $90,000 - 130,000 per year
Requirements:
• A bachelors degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience
• Experience building and supporting production backend services in a modern language such as Python, Go, Java, or C#
• Experience designing, implementing, and running REST APIs in production
• Experience deploying and operating containerized services in Kubernetes
• Experience working across teams to deliver software from initial design through production
• Must be a U.S. citizen
Responsibilities:
• Build the internal AI Factory as our primary product, focusing on the platform itself
• Develop robust back-end services, intuitive front-end interfaces, and well-defined API contracts that support AI/ML teams deploying GenAI and MLOps workloads at scale
• Design, implement, and maintain high-performance RESTful APIs for AI model orchestration and resource management
• Deliver end-to-end features, including responsive React/Next.js front ends and scalable Python/Go back-end services
• Collaborate on AI platform architecture and governance so our internal services are modular, easy to discover, and able to support LLM, RAG, and agentic workflows
• Integrate AI coding assistants and custom LLM agents into our development process to automate repetitive work, generate tests, and perform initial code reviews
• Create middleware that connects Kubernetes infrastructure with user-facing applications while simplifying complexity for end users
• Optimize data flow between front-end dashboards, back-end metadata stores such as PostgreSQL and Redis, and GPU-accelerated compute clusters
Technologies:
• AI
• API
• Backend
• C#
• Flow
• Support
• Java
• Kubernetes
• LLM
• PostgreSQL
• Python
• REST
• React
• Redis
• Security
• Backbone
• Cursor
• DevOps
More:
We are Lockheed Martins Artificial Intelligence Center (LAIC), and we are building our internal AI Factory in a platform-focused engineering role. We offer flexible work schedules, with opportunities ranging from onsite to remote, along with comprehensive benefits designed to support your future and security. Our culture encourages employees to think big, lead with a growth mindset, and help make the impossible a reality. We provide the resources, flexibility, and environment to help you stay inspired, focused, and energized while doing work you love as we build a better tomorrow together.
last updated 24 week of 2026
Requirements:
• A bachelors degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience
• Experience building and supporting production backend services in a modern language such as Python, Go, Java, or C#
• Experience designing, implementing, and running REST APIs in production
• Experience deploying and operating containerized services in Kubernetes
• Experience working across teams to deliver software from initial design through production
• Must be a U.S. citizen
Responsibilities:
• Build the internal AI Factory as our primary product, focusing on the platform itself
• Develop robust back-end services, intuitive front-end interfaces, and well-defined API contracts that support AI/ML teams deploying GenAI and MLOps workloads at scale
• Design, implement, and maintain high-performance RESTful APIs for AI model orchestration and resource management
• Deliver end-to-end features, including responsive React/Next.js front ends and scalable Python/Go back-end services
• Collaborate on AI platform architecture and governance so our internal services are modular, easy to discover, and able to support LLM, RAG, and agentic workflows
• Integrate AI coding assistants and custom LLM agents into our development process to automate repetitive work, generate tests, and perform initial code reviews
• Create middleware that connects Kubernetes infrastructure with user-facing applications while simplifying complexity for end users
• Optimize data flow between front-end dashboards, back-end metadata stores such as PostgreSQL and Redis, and GPU-accelerated compute clusters
Technologies:
• AI
• API
• Backend
• C#
• Flow
• Support
• Java
• Kubernetes
• LLM
• PostgreSQL
• Python
• REST
• React
• Redis
• Security
• Backbone
• Cursor
• DevOps
More:
We are Lockheed Martins Artificial Intelligence Center (LAIC), and we are building our internal AI Factory in a platform-focused engineering role. We offer flexible work schedules, with opportunities ranging from onsite to remote, along with comprehensive benefits designed to support your future and security. Our culture encourages employees to think big, lead with a growth mindset, and help make the impossible a reality. We provide the resources, flexibility, and environment to help you stay inspired, focused, and energized while doing work you love as we build a better tomorrow together.
last updated 24 week of 2026