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Software Engineer, DevOps, Python

Job in Manassas, Prince William County, Virginia, 20108, USA
Listing for: Lockheed Martin
Full Time, Part Time, Seasonal/Temporary position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Software Engineer, DevOps, Python, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 91200 USD Yearly USD 91200.00 YEAR
Job Description & How to Apply Below
Requisition  Eligible?:
Yes

ERP amount: $50 LMRecognition

Relocation:
Possible Type:
Exempt

Shift: 1

Clearance Prior to Start:
Interim Secret Final Clearance:
Secret Pay Transparency: $91,200.00 - $Experience Level: Experienced Professional FT/PT/Casual:
Full Time Department : RMS Core Business Unit: RMS Core Standard

Job Description What We're Doing At Lockheed Martin Rotary and Mission Systems we are driven by innovation and integrity. We believe that by applying the highest standards of business ethics and visionary thinking, everything is within our reach – and yours as a Lockheed Martin employee. Lockheed Martin values your skills, training and education. Come and experience your future!

The Work The Lockheed Martin Rotary and Mission Systems (RMS) Mission Artificial Intelligence (AI) team is looking for a Manassas Software Production & Deployment Engineer to focus on software development, testing, and deployment for front and back end pieces of an MLOps system. The ideal candidate is passionate about a broad range of projects from software development to research & development to prototype development, culminating in deployment of our products to customers.

The successful candidate will have a strong background in areas like: software engineering, Dev Ops, artificial intelligence and machine learning.

Key responsibilities include:

Software development and debugging of an MLOps system integrated into a tactical system both in the lab and at customer sites

Traveling to the tactical site to support system integration (up to 25% of the time)
Customer focused work & deployment to the edge

This role is based on Manassas, VA and co-located with our high performance compute cluster, with telecommuting flexibility depending on program needs.

Who We Are Lockheed Martin is a global leader in aerospace, defense, and technology solutions. Our Manassas campus is a thriving center of engineering expertise, fostering a culture that encourages creativity, excellence, and the creation of exceptional products. Our team is made up of dedicated professionals who are passionate about pushing the boundaries of what's possible. We are on the cutting edge, inserting AI into defense systems, delivered through our AI Factory in partnership with our lines of business.

Who You Are To excel in this role, you should possess the following qualifications and attributes:
• An innovative mindset, capable of finding solutions to complex engineering challenges.
• Commitment to excellence, attention to detail, and a dedication to delivering high-quality results.

Why Join UsJoining Lockheed Martin means becoming part of a team that's making a significant impact in the field of engineering. When you choose to work with us, you'll enjoy:
• An excellent working environment equipped with state-of-the-art tools.
• A chance to be a part of solving some of the world's most challenging engineering problems regarding highly complex and integrated subsystems.
• A culture that encourages creativity, excellence, and the development of remarkable products.

Basic Qualifications
• Bachelor's or Master's Degree in Software Engineering, Computer Science, or related STEM degree
• Some experience with software development in production systems
• Some experience with Linux and Python
• Ability to obtain a security clearance and willing to work onsite with our team in Manassas, VA in our advanced development lab
• Willing to travel to a tactical site to support system integration (up to 25% of your time)
Desired Skills
• Some experience with software languages like Python, C++, Java, React
• Some experience with database implementation
• Some experience with kubernetes or containerization
• Some experience with AI/ML: research, reference implementations, models,…
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