Senior Software Engineer

Leidos has an opening for a TS/SCI cleared Senior Software Engineer supporting our client’s mission to design and implement a data-centric architecture leveraging cloud-based computing, artificial intelligence (AI), machine learning (ML), and cross-domain transfer systems. This role is critical on the DOMEX Technology Platform (DTP) Program, centralizing and standardizing Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and Intelligence Community (IC). The team integrates off-the-shelf and newly developed software to sustain and enhance the TCPED platform, using cloud-based computing, AI, ML, and cross-domain systems to provide cutting-edge data exploitation, enrichment, triage, and analytics capabilities.

About the role

DTP advances mission-focused big data analytics tools and microservice development, spanning Agile sprints to multiyear research and development cycles. While most work is conducted on-site at our client location in Bethesda, MD, Leidos offers a flexible schedule, and some tasks may occasionally be performed remotely.

Responsibilities

• 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, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.

Requirements

• Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (e.g., Software Development, Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science). Additional/relevant experience may substitute for a degree.
• 12+ years of experience in software engineering, data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions with progressive technical development (4+ years with a Master’s).
• Active TS/SCI with Polygraph clearance (must be obtainable post-hire).
• 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

Skills

• Preferred Languages: Rust, Go, Python, TypeScript, Django
• Experience with DevOps 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 team player and self-starter.
• Nice-to-have:
  • Experience supporting military or intelligence community customers.
  • Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (e.g., social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
  • Familiarity with version control technologies (e.g., Git, SVN, JIRA).
  • Experience with the following technologies:
    • NATS
    • Kafka
    • Redis
    • ClickHouse
    • OpenTelemetry
    • OpenRouter
    • LiteLLM

Pay

Pay Range: $131,300.00 - $237,350.00. The Leidos pay range is a general guideline and not a guarantee of compensation. Additional factors considered include job responsibilities, education, experience, knowledge, skills, internal equity, market data, and applicable laws.

Benefits

Leidos offers competitive compensation, Health and Wellness programs, Income Protection, Paid Leave, and Retirement benefits. More details are available at www.leidos.com/careers/pay-benefits.

Schedule

Flexible work arrangements, including remote and on-site work in the National Capital Region (Bethesda, MD). Most work is conducted on-site, with occasional remote tasks.