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Senior Software Engineer

Job in Washington, District of Columbia, 20001, USA
Listing for: Leidos
Full Time position
Listed on 2026-08-07
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Engineer, Data Scientist
Job Description & How to Apply Below

Description

Leidos has a current opening for a TS/SCI cleared Senior Software Engineer supporting our client’s overall mission to design and implement a data centric architecture that leverages cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems.

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

Leidos has an exciting opening for you, our next TS/SCI cleared Senior Software Engineer to play a critical role on the DOMEX Technology Platform (DTP) Program where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. We integrate off the shelf and newly development software to sustain and enhance the TCPED platform.

We leverage cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. DTP advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely.

Candidates must have a demonstrated ability to work in a dynamic and challenging environment and possess a solid understanding of the software development life cycle all while working within an Agile framework.

You will work closely with the team on the following key tasks

  • Support the development of distributed backend services, APIs, and platform microservices supporting enterprise AI operations.
  • Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
  • Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
  • Contribute to the integration of software development, AI, Dev Sec Ops , data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.
  • Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Bethesda, MD).

To be successful in this role you need these skills (required):

  • Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Software Development, Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Additional/Relevant experience may be substituted for a degree.
  • 12+ years of experience in software engineering, data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions and demonstrating progressive technical development and outcomes. (4+ years with a Master’s).
  • Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
  • Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
  • Track record of creative problem solving, active learning, and mission-focused outcomes.
  • Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions.
  • Experience with the following:
    • Backend microservices
    • Distributed systems
    • API development
    • Event-driven architectures
    • Kubernetes-native application development
    • Cloud-native engineering
  • Preferred Languages
    • Rust
    • Go
    • Python
    • Type Script
    • Django
  • Experience with Dev Ops practices and tools including Continuous Integration/Continuous Delivery (CI/CD) tools and practices, especially Gitlab or Jenkins
  • Strong verbal and written communication skills
  • Experience with AGILE practices
  • Enthusiastic with the ability to work well in a team and a self-starter who can work on their own

You will wow us…

Position Requirements
10+ Years work experience
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