26-1106: Full Stack Python Developer - Herndon, VA

About the role

Navitas is seeking a Full Stack Python Developer to build and scale user-facing and backend applications that power AI/ML capabilities for the DoD Search Portfolio.

Responsibilities

• Support CI/CD and DevOps practices (containerization, deployment automation, monitoring/alerting) to ensure stable releases and operational readiness.
• Apply best practices for security, logging, auditing, and compliance aligned with federal/DoD standards across services and environments.
• Design and develop Python backend services and REST APIs (e.g., Flask/FastAPI) to expose AI/ML and search capabilities to applications and mission systems.
• Build full stack features (UI + API) that support search workflows, semantic retrieval, and results visualization for enterprise users.
• Integrate backend services with Databricks/Spark pipelines and ML workflows to enable scalable inference, data processing, and batch/stream execution.
• Implement and maintain integrations with Elasticsearch (search/indexing) and Neo4j (graph/relationship-driven experiences) to enhance relevance and discovery.
• Collaborate with ML Engineers to productionize LLM/RAG-based features, including prompt/inference orchestration, embeddings services, and retrieval workflows.
• Create clear technical documentation and communicate design decisions, trade-offs, and implementation approaches to both technical and non-technical stakeholders.

Requirements

• Bachelor’s degree (or equivalent experience) with 5+ years in software engineering focused on Python and web application development.
• Strong hands-on experience building Python APIs/services (Flask/FastAPI preferred) and integrating with databases, search platforms, and external systems.
• Experience developing full stack applications using modern front-end frameworks (React/Angular/Vue) plus strong API design skills.
• Familiarity with AI/ML concepts and integrations (LLMs, embeddings, semantic search, RAG workflows) and working closely with data/ML teams.
• Must have: Working experience with cloud-native delivery (Docker/Kubernetes), CI/CD, Git-based workflows, and performance/reliability best practices; Databricks/Spark experience required.

Qualifications

• Must have a Secret clearance.

Skills

• Python programming.
• Full stack development.
• CI/CD practices.
• DevOps practices.
• Security practices.
• Cloud-native delivery (Docker/Kubernetes).
• Git-based workflows.
• Performance/reliability best practices.
• Databricks/Spark.
• Elasticsearch.
• Neo4j.
• AI/ML concepts (LLMs, embeddings, semantic search, RAG workflows).

Benefits

• Equal opportunity employer.

Pay

The pay range provided is a good-faith estimate and represents the range the company reasonably expects to pay for this position at the time of posting. Individual compensation may vary based on skills, experience, education, certifications, geographic location, and business needs.

Schedule

Not specified.