It Systems Engineer

Anduril Anduril · Defense · Costa Mesa, CA · Corporate Technology : IT : IT Systems

This IT Systems Engineer role focuses on automating internal IT processes using AI, LLMs, and agents to improve service desk efficiency and provide self-service tools for employees. The goal is to transform manual, ticket-driven work into reliable software and automated workflows.

What you'd actually do

  1. Design and build automations that take repetitive work off of IT Service Desk, from account provisioning and access requests to common troubleshooting flows, applying AI (LLMs, agents, classification, summarization) where it produces a real efficiency gain.
  2. Ship self-service tools that let internal customers resolve common IT requests on their own, safely and without waiting on a human agent.
  3. Build creative custom applications and automations that extend the tools and applications we own.

Skills

Required

  • 3+ years of experience in IT Engineering
  • Experience managing productivity, collaboration, and design tools
  • Adept in leveraging a programming language, including Python, Go, Rust, etc.
  • Proven success in developing end-user applications and workflow automations for end-to-end continuous integration solutions using REST APIs and Webhooks
  • Ability to work autonomously and take ownership of complex projects
  • Ability to navigate ambiguity, resolve user issues, and work autonomously to identify and solve problems
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams

Nice to have

  • DevOps experience: CI/CD pipelines, deployment automation, and operating production services
  • Experience applying AI/LLMs to internal tooling, support workflows, or agent-assist use cases
  • Experience conducting security architecture or design reviews around custom business applications
  • Experience implementing onboarding and off-boarding automations for an enterprise at scale
  • Background of supporting complex initiatives across applications
  • Familiarity with one or more infrastructure as code languages (e.g., Terraform, AWS CDK) in a production capacity

What the JD emphasized

  • applying AI (LLMs, agents, classification, summarization)
  • shipping self-service tools
  • automating IT processes end-to-end

Other signals

  • applying AI (LLMs, agents, classification, summarization)
  • shipping self-service tools
  • automating IT processes end-to-end