Senior Software Engineer (SWE-3)

Leidos has a new and exciting opportunity for a Senior Software Engineer in our Intel Sector. 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 an experienced senior developer to create custom analytics to perform at scale. The software engineer will work closely with data scientists and end users to develop innovative analytic tools to further discovery and tradecraft around critical global challenges, then deliver innovative solutions focused on operationalizing data science.

Job Responsibilities/Qualifications:

• Mission Focus: Work directly with data scientists as well as mission analysts to solve the most demanding strategic problems; perform end-to-end software engineering to prototype, develop, integrate, test, and deploy tools and tradecraft into the customer's corporate architecture.
• Technical Proficiency: Strong experience with Jupyter Notebooks, Java MapReduce, Python PySpark. Strong experience with statistical analysis and machine learning fundamentals, strong experience with customer tools, architecture, data flow, and use of big data. Proficiency with Jira, Confluence, Gitlab; experience with Agile methodologies.
• Qualifications: Bachelor's degree plus eleven (11) years of relevant experience or equivalent.
• Security Clearance: Must possess an active TS/SCI with Polygraph to be considered for this role.
• Desirable Skills: Experience with software development processes (i.e., requirements analysis, software design, implementation, testing, integration, deployment/installation, and maintenance) and programming. Experience with Data Science, Machine Learning (ML), Artificial Intelligence (AI) and using Large Language Models (LLM's).

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 4, 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.