Platform Engineer, Distributed Simulation & Kubernetes

Anduril-1

Seattle (WA)

On-site

USD 166,000 - 220,000

Full time

14 days+
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Job summary

Anduril Industries in Seattle, WA is seeking a Software Engineer to join the Distributed Simulation team. The role focuses on building services that provision and orchestrate simulation environments across cloud and on‑prem, with a strong emphasis on end‑to‑end ownership of subsystems.

You will work on complex problems, ship code end-to-end, mentor others, and collaborate with internal teams and customers to improve the platform for high‑scale use cases.

Qualifications

  • 3–6 years of professional software engineering experience.
  • Degree in Computer Science or equivalent industry experience.
  • Strong production experience with Go, Rust, C++, Java, or Python.
  • Experience building and operating distributed systems in production.

Responsibilities

  • Design and build backend services for provisioning, orchestrating, and tearing down distributed test environments on Kubernetes.
  • Own subsystems end-to-end from design through rollout and user feedback.
  • Scale compute layer, optimize capacity, performance, and resource usage.
  • Improve interfaces for users to describe complex test topologies without Kubernetes expertise.
  • Support deployments across cloud and on‑prem environments with repeatable tooling.
  • Enhance reliability via instrumentation, monitoring, and root-cause analysis.

Skills

Go/Rust/C++/Java/Python
Distributed systems
On-call experience
Strong communication

Education

Computer Science degree or equivalent

Tools

Kubernetes
Terraform
Helm
CI/CD
gRPC/protobuf
KubeVirt/virtualization
Linux

Job description

Anduril Industries in Seattle, WA is seeking a Software Engineer to join the Distributed Simulation team. The role focuses on building services that provision and orchestrate simulation environments across cloud and on‑prem, with a strong emphasis on end‑to‑end ownership of subsystems.

You will work on complex problems, ship code end-to-end, mentor others, and collaborate with internal teams and customers to improve the platform for high‑scale use cases.

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