Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.
Leidos has an exciting opening for you as our next TS/SCI cleared Software Engineer supporting a long-term DIA-NDOC DOMEX Technology Platform (DTP) contract. You will work closely with Systems Engineers, Software Engineers, Architects, and Operations Engineering/Manager on a broad scope of activities extending across the development of systems to include middle-tier and backend engineering tasks. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. The percentage of remote work will vary based on client requirements/deliverables.
Specifically, we are looking for a skilled Python developer to join our team to build and maintain scalable microservices that interface with Kafka for real-time messaging and Elasticsearch for data indexing and search. You'll deploy and monitor your services in a Kubernetes environment and collaborate with cross-functional teams in designing reliable, observable, and secure systems. Our client's overall mission is to design and implement a data centric architecture that leverages cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems.
You will work closely with the team on the following key tasks
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
To be successful in this role you need these skills (required):
Bachelor's Degree and 6-10 years of prior relevant experience or Masters with 4-8 years of prior relevant experience
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
You will wow us even more if you have some of these skills:
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
#NMECDTP-Leidos
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Original Posting:
July 6, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.