DevOps Engineer

Position: DevOps Engineer

Type: Contract (Part time)

Compensation: $50–$100/hour

Location: Remote

About the Opportunity

This opportunity is for experienced DevOps Engineers with expertise in cloud infrastructure, CI/CD, Kubernetes, Terraform, Docker, Linux, automation, and infrastructure as code to contribute to advanced AI training and evaluation projects .

In this role, you'll apply your DevOps and infrastructure expertise to create realistic production-style engineering tasks , develop reference solutions, evaluate AI-generated technical outputs , and provide structured feedback that helps improve the accuracy, reliability, and reasoning capabilities of next-generation AI systems.

No prior AI experience is required. Your DevOps, SRE, platform engineering, and cloud infrastructure expertise are the primary qualifications for success in this role.

Responsibilities

- Design realistic DevOps and infrastructure evaluation tasks covering CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response .
- Develop and validate working reference solutions with clear setup, execution, and validation procedures.
- Review AI-generated DevOps solutions , identify failures, and provide precise technical corrections with supporting reasoning.
- Evaluate solutions for correctness, reliability, security, scalability, and reproducibility .
- Apply expertise in Kubernetes, Docker, Terraform, cloud platforms, Linux, and CI/CD pipelines to realistic engineering scenarios.
- Create technical problems involving production infrastructure, deployment workflows, automation, and system reliability .
- Maintain a high quality standard for technical accuracy and reproducibility across evaluation tasks.
- Provide structured feedback to improve AI-generated infrastructure solutions and future task design .




- Collaborate with project stakeholders to refine technical requirements, evaluation standards, and engineering workflows .

Required Qualifications

- 3+ years of professional experience in DevOps, SRE, Platform Engineering, Cloud Infrastructure, or Infrastructure Engineering .
- Strong programming and automation skills in Python, Go, Bash, or TypeScript .
- Practical experience with CI/CD platforms , including GitHub Actions, GitLab CI, or Jenkins .
- Strong hands-on experience with Docker and Kubernetes .
- Experience with at least one major cloud platform, such as AWS, GCP, or Azure .
- Strong experience with Infrastructure as Code , including Terraform, Ansible, Pulumi, or CloudFormation .
- Advanced knowledge of Linux and Git .
- Strong technical reasoning, troubleshooting, and problem-solving skills .
- Excellent written and verbal English communication skills .
- Ability to commit at least 20 hours per week in a remote environment.

Preferred Qualifications

- Experience with observability and monitoring tools , including Prometheus, Grafana, Datadog, or OpenTelemetry .
- Background in cloud security, secrets management, platform reliability, or incident response .
- Experience working with large-scale production infrastructure or distributed systems .
- Open-source contributions or strong technical writing experience.
- Previous experience with AI training data, AI evaluation, or machine learning systems .
- Experience developing technical evaluation frameworks, reference solutions, or engineering documentation .

Compensation

- Competitive compensation of $50–$100/hour.
- Output-based contractor engagement.
- Part-time and fully remote opportunity.
- Minimum weekly submission requirements may apply.

Application Process

1. Easy Apply on LinkedIn
2. Complete the required screening questions
3. Participate in the AI interview and/or technical assessment
4. Hiring team review and final evaluation

📌 DevOps Engineer (Remote | ) (India)
🏢 Synthires
📍 India