Senior Mission Software Engineer: Govt-Embedded, Hybrid

Scale AI, Inc.; Washington (District of Columbia); Hybrid; USD 223,200 - 279,000; Full time

Job summary

Scale AI, Inc. is seeking a hybrid, customer-facing engineer on the Public Sector Engineering team. You’ll embed with U.S.

government customers, from prototype to production, delivering software that supports critical missions and is deployed in field environments. The role rewards hands-on delivery, strong Python/TypeScript skills, cloud platforms, Linux, containers, and the ability to navigate ambiguous settings with a TS/SCI clearance.

Qualifications

• 5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts.
• Strong production coding in Python and TypeScript.
• Experience with cloud platforms, containers, Linux, and networking fundamentals.
• An active TS/SCI clearance.

Responsibilities

• 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.

Skills

Python

TypeScript

Cloud platforms (AWS/Azure/GCP)

Linux

Containers

Networking fundamentals

Independent in ambiguous environments

TS/SCI clearance

Tools

Kubernetes

Docker

Terraform

Node

React

Job description

Scale AI, Inc. is seeking a hybrid, customer-facing engineer on the Public Sector Engineering team. You’ll embed with U.S.

government customers, from prototype to production, delivering software that supports critical missions and is deployed in field environments. The role rewards hands-on delivery, strong Python/TypeScript skills, cloud platforms, Linux, containers, and the ability to navigate ambiguous settings with a TS/SCI clearance.