Full Stack Dev/Infra Engineer-HW, SW and Kubernetes (Secret Clearance) jobs in United States
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Lockheed Martin · 22 hours ago

Full Stack Dev/Infra Engineer-HW, SW and Kubernetes (Secret Clearance)

Lockheed Martin is a leader in cutting-edge AI solutions and is seeking a Senior Full Stack Engineer to join their Advanced Cloud and AI Solutions team. The role involves developing, modifying, testing, deploying, and maintaining applications and IT infrastructure in support of AI solutions, while collaborating with program engineering teams across the organization.

AerospaceCyber SecurityMachinery ManufacturingMilitaryNational SecurityRemote SensingSecurity
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Growth Opportunities
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Developing, modifying, testing, deploying, and maintaining applications and IT infrastructure in support of cutting-edge AI solutions
Being a key technical resource for our hands-on enablement services team, working closely with program engineering teams across all Lockheed Martin business areas
Designing, developing, documenting, testing, and debugging infrastructure software and scripts
Participating in the full software development lifecycle using Scalable Agile Methodology
Developing creative, straightforward solutions to technical and user experience challenges
Participating in agile development processes including sprint/release planning and retrospectives
Designing and deploying hardware and cloud-based infrastructure using Infrastructure as Code solutions
Deploying and sustaining complex Kubernetes platform offerings
Providing inputs towards the architecture solution for software development environments
Familiarity with AI and Machine Learning Services across cloud and on-premise environments
Travel to support demonstration integration efforts

Qualification

Kubernetes AdministrationInfrastructure as CodeCloud Infrastructure ManagementAI/ML PrinciplesDevOps Tools IntegrationTest-Driven DevelopmentPaired ProgrammingMonitoring AI SystemsMachine Learning AlgorithmsCommunicationCollaborative Mindset

Required

Bachelor's degree in a software, engineering, or equivalent technical discipline
3 or more years of experience managing and deploying cloud and on prem infrastructure (Azure, AWS, VMWare, etc)
Familiarity integrating DevOps tools into end-to-end CI/CD pipelines, Containerization, Kubernetes Administration and Infrastructure as Code
Ability to operate in an interactive local and virtual team environment using paired programming and test-driven development processes
Familiarity with AI/ML principles, SDKs, and API utilization across multiple platforms
Ability to obtain a TS/SCI security clearance
Excellent communication skills and a collaborative mindset
Monitoring and maintaining the performance of AI-systems post deployment
Employing best practices around securing AI/ML data and tenets surrounding confidentiality, integrity and availability
Experience with Machine Learning models and algorithms including understanding of supervised and unsupervised learning techniques

Preferred

Within driving distance to the Suffolk, VA location preferred

Benefits

Opportunity to be a part of a dynamic and innovative team, driving the development of cutting-edge AI solutions
Exposure to the latest technologies and industry trends in cloud computing and artificial intelligence
Opportunities for professional growth and development through training and mentorship programs
Competitive salary and benefits package
Flexible work schedules to comprehensive benefits investing in your future and security

Company

Lockheed Martin

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Lockheed Martin is a global security and aerospace company that specializes in advanced technology systems, products, and services. It is a sub-organization of Lockheed Martin.

Funding

Current Stage
Public Company
Total Funding
$6.06B
Key Investors
Air Force Research Laboratory
2025-12-05Post Ipo Debt· $3B
2025-08-28Post Ipo Debt· $3B
2023-11-13Grant· $33.7M

Leadership Team

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Jim Taiclet
Chairman, President & CEO
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Craig Martell
Chief Technology Officer
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Company data provided by crunchbase