Senior Software Engineer
About The Position
Join Leidos’ all-star team supporting the Defense Intelligence Agency’s Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission-focused professionals ready to take their career to the next level. As a Senior Software Engineer, you will support the development of distributed backend services, APIs, and platform microservices supporting enterprise AI operations. You will collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms. You will apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. You will 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.). 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.
Nice To Haves
- 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
- Familiarity with the following technologies NATS Kafka Redis ClickHouse OpenTelemetry OpenRouter LiteLLM
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.
Benefits
- Flexible work arrangements, including remote and on-site work
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What This Job Offers
Job Type
Full-time
Career Level
Senior
