Leidos is seeking a TS/SCI cleared Software Engineer to support the DIA-NEMC DOMEX Technology Platform (DTP) contract, focusing on the development of middle-tier and backend systems for data ingestion, real-time processing, and intelligent search.
Requirements
- 7+ years of backend software engineering experience, including at least 5 years in Python
- Proven expertise building and maintaining microservices in production in Kubernetes
- Deep understanding of Elasticsearch internals: sharding, performance tuning, analyzers, query DSL
- Strong Kafka experience: event design, stream processing, performance tuning
- Solid grasp of distributed systems principles: fault tolerance, consensus, data consistency
- Strong testing discipline with a focus on automation, coverage, and CI/CD pipelines
- Experience with DevOps practices and tools including Continuous Integration/Continuous Delivery (CI/CD) tools and practices, especially Gitlab or Jenkins
Responsibilities
- Lead the design and architecture of backend systems and services.
- Drive initiatives across the engineering team related to scalability, reliability, and performance.
- Build robust, testable, and maintainable Python microservices
- Architect message flows with Kafka, ensuring high availability and fault tolerance
- Define data modeling, indexing, and query patterns for Elasticsearch to meet product requirements
- Guide service deployments, rollout strategies, and observability practices in Kubernetes
- Contribute to and review RFCs, design documents, and architecture reviews
Other
- Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph
- Experience leading technical projects and mentoring engineers
- Strong verbal and written communication skills
- Enthusiastic with the ability to work well in a team and a self-starter who can work on their own
- Active Security+ certification and ability to obtain Privileged User Account (PUA) certification by the Government
