Synthires
Company:
https://www.linkedin.com/company/synthires
Industries: Software Development
Job details:
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
- Easy Apply on LinkedIn
- Complete the required screening questions
- Participate in the AI interview and/or technical assessment
- Hiring team review and final evaluation
Click on Apply to know more.
