> Markdown version of [/jobs/ext/3555628-full-stack-software-engineer-core-platform](https://www.wearedevelopers.com/jobs/ext/3555628-full-stack-software-engineer-core-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full-Stack Software Engineer, Core Platform - **Company:** Lumbra Inc. - **Location:** Arlington, VA, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Databases, Software Debugging, Graph Database, Identity and Access Management, Intelligence Analysis, Python (Programming Language), Key Management, PostgreSQL, OAuth, Open Source Technology, Open Source Intelligence, OpenID, Search Technologies, SQLAlchemy, Data Streaming, TypeScript, Workflow Management Systems, ReactJS, Evaluation Pipelines, Large Language Models, Prompt Engineering, Model Validation, Backend, Agentic-AI, Fastapi, Knowledge Representation, Database Migration, Build Management, Kubernetes, Front End Software Development, Software Coding, Model Context Protocol, Dynatrace - **Published:** October 2, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9210407/full-stack-software-engineer-core-platform ## About the Role * Ships production Python (async, relational modeling, layered services) and production React and TypeScript * Reasons comfortably about data flow through every layer, from schema to UI state * Writes clean, well-tested code and works test-first, * Agentic AI systems: harness engineering, context engineering, or building on LLM APIs * Distributed task orchestration systems * Graph databases or vector search for knowledge representation and retrieval * Model Context Protocol or similar tool-use frameworks * Identity management (OAuth2/OIDC) * Open-source developer-tooling contributions * Intelligence analysis, OSINT, or analytical workflows that inform product intuition * Cloud infrastructure (GCP or equivalent): managed Kubernetes, managed databases, secrets management ## Description Nebula turns days of manual synthesis into minutes of analysis. We want a full-stack engineer to own features end to end across the Python backend and the React frontend, putting real AI tooling directly in analysts' hands., * Design and build FastAPI endpoints backed by PostgreSQL and SQLAlchemy for agent configuration, workflow orchestration, and evaluation pipelines. * Implement interactive React and TypeScript features: conversation interfaces, workflow visualization, and knowledge-graph exploration. * Build durable workflow orchestration for long-running agent execution, including delegation, monitoring, and timeout propagation. * Own features across the full stack, from database migration through API contract to UI state. * Bring clean abstractions and well-defined interfaces to a fast-moving codebase, writing code that survives constant change and stays easy to understand, refactor, and extend. * Write contract-driven tests across backend and frontend that cover the spec rather than the implementation, working test-first. * Design testing for non-deterministic AI components: metamorphic testing, property-based testing, and regression suites that catch capability loss without overfitting to specific outputs. * Contribute to the Python and TypeScript client SDKs so programmatic consumers get ergonomic, well-typed access. * Own performance across the stack and profile before guessing: API latency, query efficiency, render performance, and end-to-end streaming latency. Treat slowness as a defect. * Debug across service boundaries with local environments and distributed tracing.