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DevOps Engineer

icon briefcase Job Type : Full Time
icon remote-alt Remote / Work from Home

Job Description - DevOps Engineer

Role Title: DevOps Engineer


Role Type: Contractor


Location: Remote


DevOps Engineers to contribute to a dynamic customer project focused on scalable, modern cloud infrastructure. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for professionals passionate about automation, infrastructure as code, and continuous improvement, with a special focus on strong written and verbal communication skills.


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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