DevOps Engineer
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Company Description:
The company is engaging 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.
Role Description:
The DevOps Engineer role is a remote position focused on building, automating, and maintaining infrastructure and deployment pipelines. Day-to-day responsibilities include designing and managing infrastructure as code, implementing and optimizing continuous integration workflows, and collaborating with software developers to streamline code delivery and release processes. The role involves monitoring system performance, troubleshooting issues in Linux-based environments, and improving system reliability and scalability. The DevOps Engineer will also help enhance security practices, documentation, and tooling to support efficient, stable operations across development and production environments.
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 Cloud
Formation)
Advanced Linux and GitProfessional English, written and spoken Availability of at least 20 hours per week
Preferred qualifications:
- Observability stack experience (Prometheus, Grafana, Datadog, Open
- Telemetry) Security, secrets management, or platform reliability background Open source contributions or technical writing Previous AI training data or model evaluation work
- Security, secrets management, or platform reliability background, Open-source contributions or technical writing
- Previous AI training data or model evaluation work