Forward Deployed Software Engineer, Public Sector

Scale AI · Austin, TX; Colorado Springs, CO; Honolulu, HI; St. Louis, MO; Washington, DC · Public Sector Engineering · listed October 9, 2024

The shape of it

Seniority
Senior
Experience asked
5+ years
Where
Hybrid
Stated pay
$184,000 – $292,560 USD
Requirements listed
3
Length
824 words

In the posting’s own words

At Scale, we build the AI systems behind some of the country's most important decisions. On the Public Sector Engineering team, you'll embed directly with U.S. government customers, including the Army, Air Force, Joint commands and Intelligence Community, to build and deploy AI applications that support their most critical missions.

What it asks for · 3

  • Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure.
  • Experience building or deploying systems powered by LLMs or generative models.
  • Familiarity with Node and React, Kubernetes and Docker, and Terraform.

Also a plus

  • 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.

What the job covers

  • 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.

Tools and skills named

Cloud & infra
  • AWS
  • Azure
  • Docker
  • GCP
  • Kubernetes
  • Linux
  • Terraform
Data
  • Data modeling
  • ETL
Frameworks
  • Node.js
  • React
Languages
  • Python
  • TypeScript
Models & research
  • LLM
Product & design
  • Roadmap

Words the posting leans on

  • customers7×
  • build5×
  • engineering5×
  • data4×
  • mission3×
  • platform3×
  • production3×
  • software3×
  • systems3×
  • travel3×
  • back2×
  • customer-facing2×
  • delivery2×
  • deploy2×
  • directly2×
  • embed2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

The posting, your resume, and the gaps between them. One click loads all three.

More open at Scale AI

every open role at Scale AI

How this page was made

An automated read of a public job posting, fetched August 26, 2026 and last changed by Scale AI on August 20, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.