Sr. Software Engineer

LeidosBethesda, MD
$107,900 - $195,050Hybrid

About The Position

Leidos has an exciting opening for a TS/SCI cleared Software Engineer supporting a long-term DIA-NDOC DOMEX Technology Platform (DTP) contract. The role involves working closely with Systems Engineers, Software Engineers, Architects, and Operations Engineering/Manager on a broad scope of activities extending across the development of systems, including middle-tier and backend engineering tasks. This is a mission-focused, solutions-oriented, and adaptive team that values innovation, collaboration, and professional development. The work is primarily conducted on-site in Bethesda, MD, with a flexible schedule and occasional remote work opportunities, depending on client requirements. The position specifically seeks a skilled Python developer to build and maintain scalable microservices that interface with Kafka for real-time messaging and Elasticsearch for data indexing and search. Responsibilities include deploying and monitoring services in a Kubernetes environment and collaborating with cross-functional teams on reliable, observable, and secure systems. The client's overall mission is to design and implement a data-centric architecture leveraging cloud-based computing, artificial intelligence (AI), machine learning (ML), and cross-domain transfer systems.

Requirements

  • Bachelor’s Degree and 6-10 years of prior relevant experience or Masters with 4-8 years of prior relevant experience. Experience can be considered in lieu of a degree.
  • Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph
  • Proficiency in Python and related backend frameworks (e.g., FastAPI, Flask).
  • Experience with containerization, especially with Docker
  • Experience in Extraction, Transformation, and Load (ETL)
  • Hands-on development experience in a Linux environment including bash or bash-like scripting
  • Strong understanding of RESTful APIs and microservice architecture
  • Hands-on experience with Kubernetes: deploying, monitoring, and debugging services
  • Understanding of common design patterns, security practices, and logging/monitoring principles
  • Familiarity with Git and collaborative workflows (PRs, reviews)
  • 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 with the ability to work well in a team and a self-starter who can work on their own

Nice To Haves

  • Experience with designing and implementing software development kits
  • Familiarity DGX (Deep GPU Xceleration)
  • Active Security+ certification and ability to obtain Privileged User Account (PUA) certification by the Government
  • Elasticsearch certifications or other program stack related certifications
  • Experience of a production/enterprise systems at scale
  • Knowledge of distributed systems concepts (e.g., idempotency, eventual consistency)
  • Familiarity with schema registries and Kafka streaming patterns
  • Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner.
  • Experience with Amazon Web Services (AWS/C2S)
  • Familiarity or experience with building applications around Large Language Models, Agentic AI

Responsibilities

  • Design, develop, test, and maintain Python microservices
  • Implement message consumers and producers with Apache Kafka
  • Integrate with Elasticsearch for real-time and batch data indexing and querying
  • Write unit and integration tests; ensure high code coverage and reliability
  • Build CI/CD pipelines for your services and deploy them in Kubernetes clusters
  • Participate in design discussions, code reviews, and architecture planning
  • Monitor and troubleshoot production issues with observability tools
  • Contribute to technical documentation and knowledge sharing within the team
  • Utilizes software engineering and design methodologies appropriate to the development, integration, and production environment
  • Foster an environment of collaboration with the different team members in the goal of providing quality service and product to our customers

Benefits

  • Training
  • Professional development
  • Flexible schedule
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