Cleared Software Engineer, Integrations

Posted Yesterday
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Arlington, TX, USA
In-Office
Mid level
Artificial Intelligence • Machine Learning • Software • Defense
The Role
Build and maintain Python-based integration connectors and MCP servers enabling agents to access diverse data sources across commercial cloud, on‑prem, and air‑gapped environments. Ensure secure, well-tested, high-performance integration code and support onsite troubleshooting of air‑gapped Kubernetes deployments while meeting classified-environment security and audit standards.
Summary Generated by Built In
About the Role

Lumbra is building Nebula, an agentic harness operating in environments where analysts need to pull intelligence from diverse, often restricted data streams, and where the harness itself must deploy into on-prem cloud and fully air-gapped environments with limited or no internet connectivity. We're looking for a cleared software engineer to own the integration layer: building connectors to external systems, extending our agent tool framework, and ensuring Nebula works reliably in disconnected classified environments.

This role requires an active U.S. security clearance (TS/SCI).

What You'll Own
  • Build and maintain integration tools in Python that connect agents to external data sources, APIs, and analyst workflows. You need strong Python skills and experience writing reliable, well-tested connectors that handle authentication, rate limiting, and error recovery.

  • Extend and create MCP servers with new tool registrations, resource types, and transport mechanisms.

  • Develop connectors for collaboration platforms and communication channels, enabling agents to interact with analysts in the tools they already use.

  • Maintain deployment parity by ensuring all new features, environment variables, and configurations work across commercial cloud, on-prem cloud, and air-gapped environments. You'll work closely with the infrastructure team to keep all tracks aligned.

  • Write thorough tests for all integration code, covering error cases, network failures, and edge conditions in disconnected environments. You'll follow a contract-driven testing approach with clear coverage expectations.

  • Support onsite deployments by troubleshooting issues in air-gapped Kubernetes clusters where standard debugging tools aren't available. Resourcefulness and self-sufficiency are essential.

  • Care deeply about integration performance and reliability: connection pooling, retry efficiency, parsing throughput, and end-to-end latency from data source to agent. In constrained environments, every wasted cycle and unnecessary round-trip compounds.

  • Ensure all integration code meets security standards for classified environments: no hardcoded secrets, proper credential handling, and audit-ready practices throughout.

Preferred Qualifications
  • Experience writing, deploying, and operating software in air-gapped or SCIF environments, including disconnected package management and offline container registries

  • Prior work with intelligence community tools, data formats, or workflows (STIX/TAXII, OSINT platforms, imagery analysis pipelines)

  • Familiarity with workflow orchestration (Temporal or similar) for durable, multi-step integration tasks

  • Experience with Helm chart authoring and Kubernetes manifest management across multiple deployment targets

  • Background in data engineering: ETL pipelines, schema normalization, or multi-source data fusion

  • Experience with graph databases for knowledge extraction and entity resolution

  • Familiarity with Rancher, ArgoCD, and Harbor in air-gapped or restricted environments

  • Prior work on FedRAMP, IL4/IL5, or similar compliance-bounded software delivery

Benefits
  • Comprehensive medical, dental, and vision plans

  • Premiums 100% covered by Lumbra for all employees

  • Exceptionally low premiums for spouses and dependents

  • Basic life insurance and disability 100% covered for all employees by Lumbra

  • Option to purchase additional life insurance available

  • Take the time off that you need, when you need it' paid time off, not accrual based

  • Generous company holiday calendar including a holiday shutdown in December

  • Supportive leave of absence program including time off for military service, medical events, and parental leave

  • Full 401(k) retirement plan for all full-time eligible employees

  • Company-funded commuter benefits

  • Free access to on-site gym at office

Skills Required

  • Active U.S. security clearance (TS/SCI)
  • Strong Python skills with experience building reliable, well-tested connectors
  • Experience handling authentication, rate limiting, and error recovery in integrations
  • Developing and extending MCP servers, tool registrations, resource types, and transports
  • Ensuring deployment parity across commercial cloud, on‑prem cloud, and air‑gapped environments
  • Writing thorough, contract-driven tests for integration code, including network failure and edge cases
  • Troubleshooting onsite deployments in air‑gapped Kubernetes clusters with limited debugging tools
  • Adherence to security standards for classified environments (no hardcoded secrets, proper credential handling, audit-ready practices)
  • Focus on integration performance and reliability (connection pooling, retries, parsing throughput, latency)
  • Experience operating in air‑gapped or SCIF environments
  • Prior work with intelligence community tools or data formats (STIX/TAXII, OSINT, imagery pipelines)
  • Familiarity with workflow orchestration such as Temporal
  • Helm chart authoring and Kubernetes manifest management across deployment targets
  • Background in data engineering (ETL, schema normalization, multi-source data fusion)
  • Experience with graph databases for knowledge extraction/entity resolution
  • Familiarity with Rancher, ArgoCD, and Harbor in restricted or air‑gapped setups
  • Experience with FedRAMP, IL4/IL5 or similar compliance-bounded delivery
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The Company
17 Employees

What We Do

Lumbra is an AI company building the architecture for autonomous intelligence in the intelligence community. They are developing frameworks, orchestration layers, and agentic operating systems, including Nebula—an agentic harness designed to make AI agents reliable, evaluable, and useful for real analytical work in high-consequence environments. The team consists of engineers and operators from the intelligence community, special operations, and frontier AI research.

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