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

Lockheed Martin•Fort Worth, CA

2d•Remote

About The Position

The 21st Century Security and 5G.MIL Full Stack Engineer Staff will drive Cutting-Edge AI Solutions at Lockheed Martin! Do you have a passion for developing innovative and scalable solutions in the field of artificial intelligence and cloud computing? Are you a seasoned engineer with experience in infrastructure software development, DevOps, and agile methodologies? Look no further! We have an exciting opportunity for a Senior Full Stack Engineer to join our Advanced Cloud and AI Solutions team within the Enterprise Operations business area. As a Senior Full Stack Engineer, you will be responsible for driving the development, modification, testing, deployment, and maintenance of applications and IT infrastructure in support of cutting-edge AI solutions. You will be a key technical resource for our hands-on enablement services team, working closely with program engineering teams across all Lockheed Martin business areas to establish updated software development environments and release reusable components of a DevOps pipeline. What's in it for you? 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 Your Impact: As a Senior Full Stack Engineer, you will have a direct impact on the success of Lockheed Martin's AI solutions. You will be responsible for: 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 This position requires frequent access to sensitive and classified networks. The ideal candidate must be based in a location that is conveniently close to a major Lockheed Martin facility What’s In It For You From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. Some travel required #LMLAIC

Requirements

3 years of demonstrated experience in developing and deploying hardware infrastructure, including networks, servers, and cloud-based solutions.
3 years of demonstrated experience with Linux administration.
Full Stack Development experience utilizing DevOps practices across cloud and on-premise solutions
A Secret security clearance is required.
Must be near a major Lockheed Martin Facility with classified connectivity. Some travel required.

Nice To Haves

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.
Within driving distance to the Suffolk, VA location preferred.

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