Full-Stack Developer (SWE-3) job opportunity at Leidos.



DatePosted 19 Days Ago bot
Leidos Full-Stack Developer (SWE-3)
Experience: General
Pattern: full-time
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loacation 3325 Fort George G. Meade MD, United States Of America
loacation 3325 Fort Geor..........United States Of America

Leidos has a new and exciting opportunity for a Senior Full-Stack Developer in our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA) .  Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos , we offer competitive benefits , including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.  Join us and make a difference in National Security!   Job Summary: Our LOE program provides our customer's Operations organization with the best possible solutions for their mission needs. We achieve this through rapid prototyping, new development, and advanced technology research. From leading-edge visualizations to analytic development, we're always pushing the boundaries to find new and better data sources and tradecraft to answer intelligence questions. With a focus on collaboration and a fast-paced environment, our prototype development program is the ideal place to grow your skills and make a real impact. Click  here  to learn more about how this program “Delivers Mission Success!” Seeking a motivated Senior Full-Stack Developer to support the exciting Corporate Discovery Services mission.  Developers will work closely with mission stakeholders to capture requirements and create innovative analytics and deploy solutions to customer supported tools to automate and enable data and metadata analysis. Job Responsibilities/Qualifications: Mission Focus : Collaborate closely with customers to deliver a software solution to capture holistic information about analytic dependencies, performance and governance status; and develop a software solution that will provide means to federate, join, and aggregate information across disparate data sources in a policy compliant manner.  Technical Proficiency : Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery to include creating API’s and business intelligence analytics. Qualifications : Bachelor’s degree in computer science or related technical field plus a minimum of eight (8) plus years of relevant experience or equivalent. Proficiency with object-oriented language (Python and Java) and experience with Jupyter Notebooks, GHOSTMACHINE, and Query Time Analytics. Security Clearance Requirement : Candidates must possess an active TS/SCI with Polygraph to be considered for this role. Desirable Skills : Knowledge of Tableau, Atlassian, and customer corporate tools and data repositories. At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you – apply today! Careers.leidos.com conmd If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: February 11, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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