Remote Backend Engineer: Platform Readiness & AI Ops

United States Digital Space LLC

United States

Remote

USD 110,000 - 150,000

Full time

14 days+

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Job summary

United States Digital Space LLC is seeking an Intermediate Backend Engineer for the Platform Readiness team within Developer Experience. You will build agentic workflow components and contribute to a knowledge base, while partnering with Infrastructure, Security, and Data teams to ensure platform readiness across four deployment targets.

You’ll work on YAML/JSON Schema-based schemas, integrate with CI/CD pipelines, and apply AI-driven tooling to accelerate secure software delivery.

Qualifications

  • 2+ years of software engineering experience with backend focus.
  • Proficiency in TypeScript/Node, Python, or Golang.
  • Comfort reading and contributing to schemas (YAML, JSON Schema).
  • Experience with Kubernetes and failure-mode reasoning.
  • Ability to work asynchronously and communicate in writing.
  • Exposure to LLM APIs, prompts, or agentic frameworks.

Responsibilities

  • Build and maintain agentic workflow components on the Duo Agent Platform.
  • Contribute to the platform requirements knowledge base and validation tooling.
  • Build integration surfaces for feature teams across issues, MR, docs, and CI/CD pipelines.
  • Collaborate with Infrastructure, Security, Data teams to produce platform readiness artifacts.
  • Write clear documentation and evaluations to validate agentic-workflow behavior.

Skills

Backend focus
TypeScript/Node
Python
Golang
Kubernetes
LLM APIs
Asynchronous work

Tools

JSON Schema
YAML

Job description

United States Digital Space LLC is seeking an Intermediate Backend Engineer for the Platform Readiness team within Developer Experience. You will build agentic workflow components and contribute to a knowledge base, while partnering with Infrastructure, Security, and Data teams to ensure platform readiness across four deployment targets.

You’ll work on YAML/JSON Schema-based schemas, integrate with CI/CD pipelines, and apply AI-driven tooling to accelerate secure software delivery.

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