Remote | DevOps Engineer

We are sharing a specialised consulting opportunity for experienced Dev Ops, SRE, Platform, and Infrastructure Engineers with strong expertise in Kubernetes, Terraform, CI/CD, Python, Linux, cloud infrastructure, and infrastructure as code to contribute to an advanced AI training and technical evaluation project.

Selected professionals will design realistic Dev Ops tasks based on production-style scenarios, build working reference solutions, evaluate AI-generated technical outputs, and provide precise corrections grounded in practical infrastructure engineering. The work requires strong coding ability, hands-on cloud and platform experience, and a high standard for correctness and reproducibility. No prior experience in AI is required.

• Design realistic technical tasks based on production-style Dev Ops environments
• Create scenarios involving CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response
• Ensure tasks reflect practical engineering constraints rather than purely theoretical exercises
• Define clear expected outcomes and validation criteria
• Maintain technical realism across infrastructure and platform-engineering workflows

• Write working reference solutions for Dev Ops and infrastructure tasks
• Provide clear setup, execution, and validation steps
• Build reproducible solutions that can be verified consistently
• Document assumptions, dependencies, and environment requirements
• Maintain a strict quality bar for technical correctness

• Review AI-generated solutions to Dev Ops and infrastructure problems
• Identify technical failures, incorrect assumptions, and incomplete implementations
• Write precise corrections explaining both the issue and the appropriate solution
• Evaluate outputs for correctness, reliability, and operational viability
• Provide structured feedback that improves future task and evaluation quality

• Work with Docker, Kubernetes, and modern containerised infrastructure
• Design or evaluate CI/CD workflows using platforms such as Git Hub Actions, Git Lab CI, or Jenkins
• Apply Infrastructure as Code using Terraform, Ansible, Pulumi, Cloud Formation, or comparable tools
• Work across at least one major cloud platform such as AWS, GCP, or Azure
• Apply strong Linux and Git practices across technical workflows

• Assess infrastructure solutions for scalability, reliability, maintainability, and security
• Diagnose deployment, configuration, or automation failures
• Incorporate observability and operational best practices where relevant
• Maintain consistent standards across production-style engineering tasks
• Contribute structured feedback that supports continuous improvement of technical evaluation frameworks

• 3 years of professional experience in Dev Ops, SRE, Platform Engineering, Infrastructure Engineering, or a closely related role
• Strong coding ability in Python, Go, Bash, Type Script, or comparable languages
• Ability to work with real application and infrastructure code rather than relying solely on basic scripting
• Practical experience with CI/CD systems such as Git Hub Actions, Git Lab CI, or Jenkins
• Strong experience with Docker and Kubernetes
• Hands-on experience with at least one major cloud platform, including AWS, GCP, or Azure
• Infrastructure as Code experience with Terraform, Ansible, Pulumi, Cloud Formation, or comparable tooling
• Advanced Linux and Git proficiency
• Strong written and spoken English
• Experience with observability platforms such as Prometheus, Grafana, Datadog, or Open Telemetry is advantageous
• Security, secrets-management, or platform-reliability…