# Senior Mission Software Engineer, Public Sector

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** Austin, TX, Honolulu, HI, St. Louis, MO, Washington, DC
**Role:** Solutions Architecture
**Salary:** $186k – $279k/yr
**Experience:** 5+ years
**Skills:** Python, TypeScript, AWS, Azure, GCP, Kubernetes, Docker, Terraform, Node.js, React, Linux, LLMs
**Posted:** 2026-07-31

> Embed with U.S. government customers (DoD, IC) to build, deploy, and own production AI applications and backend integrations from prototype to field use. Requires 5+ years software engineering, Python/TypeScript, cloud/container experience, and active TS/SCI clearance.

## Job Description

## What you'll do

- Embed with government customers to understand their mission, scope the problem, and turn it into working software.
- Own delivery end-to-end: design, build, deploy, and maintain solutions at customer sites, from prototype to stable production.
- Build robust backend systems and data integrations that connect customer environments to Scale's platform and back.
- Partner with product and engineering to feed field signals back into the roadmap, so the patterns you build once become capabilities the whole team can reuse.
- Serve as the technical point of contact for customer stakeholders, guiding adoption and maximizing mission impact.

## What we're looking for

**Required**

- 5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts.
- Strong production coding in Python and TypeScript (or comparable modern languages).
- Comfort across the stack, including cloud platforms (AWS, Azure, or GCP), containers, Linux, and networking fundamentals.
- Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure.
- An active TS/SCI clearance.

**Bonus**

- Experience building or deploying systems powered by LLMs or generative models.
- Familiarity with Node and React, Kubernetes and Docker, and Terraform.
- Data engineering background covering ETL pipelines, data modeling, and data governance.

## Location and travel

This role requires significant time on-site with customers. Expect 25% travel with up to 50% travel as necessary, and/or relocation to Washington DC or St. Louis.

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