Software Engineer - Public Sector

The role

This person will own the technical vision for complex federal and public sector data pipelines. They will drive architectural strategies and write production-ready code to support mission-critical workloads.

What you will do

• Own the technical vision for complex federal and public sector data pipelines.
• Drive architectural strategies for scale, performance, and security compliance.
• Write production-ready code for mission-critical workloads.
• Solve technical challenges like data orchestration, secure data flow, and AI-first infrastructure.
• Align engineering, product, and go-to-market teams to meet compliance and security needs.
• Guide architectural decisions balancing innovation with risk mitigation.

Required qualifications

• 5–9 years building software for US government or Department of Defense (DOD) networks.
• Active SECRET clearance.
• Deep expertise in Python, distributed architectures, and AWS, Azure, or GCP.
• Proven success leading mission-critical technical initiatives and mentoring engineering teams.
• Ability and willingness to travel up to 20%.

Nice to have

• TS/SCI
• Experience with AI/ML systems, unstructured data, or real-time pipelines.
• Familiarity with FedRAMP, IL5, or other compliance frameworks.
• Expertise with Kubernetes, IaC, or scaling SaaS infrastructure.
• Startup DNA

Benefits

• Medical, dental, and vision coverage through Justworks.
• Fertility coverage.
• Access to One Medical, Talkspace, Kindbody, and Teladoc.
• $250/month allowance if medical coverage is waived.
• 401(k) with company match.
• Company-paid life insurance.
• Optional supplemental life, short- and long-term disability, accident, critical illness, and hospital coverage.
• FSA and HSA options.
• Stock options.
• Flexible paid time off (unlimited).
• Up to 80 hours of paid sick leave a year.
• 12 company holidays and a company-wide winter break.

Before you apply

• Active SECRET clearance required

About the company

Unstructured is defining the standard for enterprise data transformation in the age of LLMs and generative AI. They power production AI workflows across commercial and federal sectors.