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Xperteez Technology

🌎 DevOps Engineer, Remote - Contract

Reposted 19 Minutes Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Design production-style DevOps tasks covering CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response. Develop reproducible reference solutions with setup and validation instructions, evaluate AI-generated outputs, identify failures, provide precise corrections, and maintain high standards for correctness. Share structured feedback to improve future task design. The contract role requires at least 20 hours weekly and professional English proficiency.
The summary above was generated by AI

Role Title: DevOps Engineer

Role Type: Contract

Location: Remote

Required Skills

  • Kubernetes

  • Terraform

  • CI/CD

  • Python

  • Linux

Key responsibilities

  • Design realistic DevOps tasks based on production-style scenarios (CI/CD, containers, orchestration, IaC, monitoring, incident response)

  • Write working reference solutions with clear setup and validation steps

  • Review AI-generated output, identify failures, and write precise corrections with reasoning

  • Maintain a strict quality bar on correctness and reproducibility

  • Share structured feedback that improves future task design

Required qualifications

  • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure engineering

  • Strong coding ability in Python, Go, Bash, or TypeScript (this role needs real code, not scripts alone)

  • Practical depth in CI/CD (GitHub Actions, GitLab CI, Jenkins), Docker, Kubernetes, and at least one cloud (AWS, GCP, Azure)

  • Infrastructure as Code experience (Terraform, Ansible, Pulumi, or CloudFormation)

  • Advanced Linux and Git

  • Professional English, written and spoken

  • Availability of at least 20 hours per week

Preferred qualifications

  • Observability stack experience (Prometheus, Grafana, Datadog, OpenTelemetry)

  • Security, secrets management, or platform reliability background

  • Open source contributions or technical writing

  • Previous AI training data or model evaluation work

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