Senior Software Engineer

Leidos is hiring a Senior Software Engineer to support the Defense Intelligence Agency’s Enterprise Digital Modernization Accelerator initiative. The role develops distributed backend services, APIs, and platform microservices for enterprise AI operations and contributes to analytical platforms and capabilities across cloud, edge, and classified environments.

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
• Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA)

Requirements:

• 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.)
• 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
• Backend microservices
• Distributed systems
• API development
• Event-driven architectures
• Kubernetes-native application development
• Cloud-native engineering
• Rust
• Go
• Python
• TypeScript
• Django
• Experience supporting military or intelligence community customers
• Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing)
• Familiarity using git, svn, JIRA, or other version control technologies
• NATS
• Kafka
• Redis
• ClickHouse
• OpenTelemetry
• OpenRouter
• LiteLLM