Senior SRE & Infrastructure Engineer — Hybrid Cloud & GPU

Blackwing; Detroit, Northern (MI, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Equity package

Full medical, dental, and vision

401(k)

PTO with 15 days minimum

Team travel to Detroit

Visa support for TN, E-3, and O-1

Hardware stipend

On-site prototype lab access

Job summary

Atomic Industries in Detroit is seeking an Infrastructure Engineer to own the systems powering high-performance simulation, geometry processing, and factory automation. You will build and maintain a hybrid infrastructure spanning cloud, on-prem, and GPU compute environments.

This role suits engineers who balance reliability, performance, and engineering velocity, with a chance to impact manufacturing tooling and data-driven workflows.

Qualifications

• 5+ years in DevOps, infrastructure, or site reliability engineering.
• Proficiency with container orchestration (Nomad, Kubernetes), IaC, and Linux.
• Strong scripting and programming skills (Python, Bash, Go).
• Experience with hybrid (cloud + on-prem) infrastructure.
• Familiarity with distributed systems, caching layers, and observability tools.

Responsibilities

• Manage and improve CI/CD pipelines (GitHub Actions, Terraform, HashiCorp stack)
• Orchestrate compute workloads across cloud and bare-metal GPU clusters
• Design systems for secure, fault-tolerant deployment and observability
• Build internal tooling to accelerate developer workflows and operations
• Partner with engineers on simulation, ML, and backend teams to scale infrastructure
• Monitor and tune system performance under high computational loads

Skills

DevOps

Kubernetes

IaC

Linux

Python

Bash

Go

Hybrid infra

Observability

Tools

Nomad

Terraform

GitHub Actions

Job description

Atomic Industries in Detroit is seeking an Infrastructure Engineer to own the systems powering high-performance simulation, geometry processing, and factory automation. You will build and maintain a hybrid infrastructure spanning cloud, on-prem, and GPU compute environments.

This role suits engineers who balance reliability, performance, and engineering velocity, with a chance to impact manufacturing tooling and data-driven workflows.