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DevOps / SRE Test Bench Engineer

Weekday
Remote
RemoteUSD 20 - 25 / hour

About this role

DevOps / SRE Test Bench Engineer

About the role

DevOps / SRE Test Bench Engineer AI Test Bench Task Development | Remote | Hourly Pay: USD 20 - 25 per hour Commitment: 5 - 6 hours per day Location: Fully remote Duration: Ongoing

About the Role

We are expanding a test bench campaign for AI systems and need experienced infrastructure engineers to build realistic, hard troubleshooting tasks. You will design broken Linux and containerized environments that take hours to diagnose and recover, plus the automated checks that confirm the problem was truly fixed.

What You Will Do

  • Design realistic failure scenarios across multi-service systems that need hours of investigation and recovery
  • Build the task environments using Docker, Kubernetes, databases, queues, and service configuration
  • Write reference solutions and reliable automated verifiers with clear success criteria
  • Refine tasks so they are fair and cannot be solved by a prescribed runbook
  • Log your hours accurately and stay active in the team WhatsApp community

What We Are Looking For

  • Hands-on Linux, DevOps, SRE, platform, or infrastructure engineering experience
  • Strong terminal skills: SSH, shell scripting, logs, processes, permissions, networking, and system services
  • Strong Docker and Kubernetes experience, including diagnosing broken deployments
  • Experience with PostgreSQL, Redis, queues, storage, replication, and recovery
  • Experience troubleshooting production systems with multiple dependent services
  • Familiarity with CI/CD, infrastructure as code, and cloud infrastructure
  • Ability to diagnose ambiguous failures without a runbook
  • A testing mindset, with experience building automated verifiers
  • Python or Bash proficiency for setup, automation, and test scripts

Nice to Have

  • AWS, GCP, or Azure
  • Nginx, systemd, LVM, security hardening
  • Distributed systems
  • Familiarity with AI coding agents

Good to Know

  • Payment is hourly, based on approved logged hours
  • Task content must not be shared outside the project

Must-have skills

LinuxDockerKubernetes

Good-to-have skills

AWSGCPAzure

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