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Colonist

DevOps Engineer

Any Location (Remote)fulltimemidAdded today

About this role

Colonist seeks an experienced DevOps Engineer to own and strengthen their infrastructure serving millions of active players on a digital board game platform. You'll manage Kubernetes clusters, automate deployments, operate critical databases and message brokers, and establish documentation-first practices across a fully remote, asynchronous team.

What you'll do

  • Own end-to-end Kubernetes infrastructure across dev, staging, and production environments
  • Manage cloud resources and infrastructure as code using Terraform on DigitalOcean
  • Operate PostgreSQL, Redis, and NATS under production traffic with performance optimization and safe migrations
  • Implement observability across Sentry and New Relic; consolidate and improve monitoring coverage
  • Respond to incidents, drive root cause analysis, and create postmortems to prevent recurring issues
  • Build self-service infrastructure paths and guardrails enabling other engineers to deploy confidently

What they're looking for

  • Kubernetes production operations (rollouts, autoscaling, networking, debugging)
  • Infrastructure as code (Terraform)
  • PostgreSQL and Redis administration under load
  • Message broker operation (NATS or equivalent)
  • Linux, Docker, and CI/CD systems
  • Cloudflare edge configuration and management
  • Incident debugging across logs, metrics, databases, and edge
  • Technical documentation and async written communication

Benefits

  • Fully remote, asynchronous work environment
  • Unlimited vacation and yearly team offsite
  • Full work equipment provided
  • Budget for AI tool experimentation
  • Access to all company metrics and internal discussions
  • Work impacting 3.6M+ yearly active players
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Colonist

Colonist operates a digital board game platform serving millions of players across web, mobile, and Discord. The company is hiring Product Developers, Full-Stack Developers, and QA Engineers to build and maintain engaging game features and ensure product quality in a fully remote, asynchronous environment.

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Likely interview questions

  • Walk us through a complex Kubernetes production incident you debugged—what was your debugging process across logs, metrics, and the database?
  • How do you approach documentation in a fast-moving environment, and how have you structured it so AI tools and other engineers can consume it?
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