Kubernetes Engineer (Freelancer)

About Us

Deccan AI Experts is a pioneering AI company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in high-quality human-curated data, AI-first operations, and advanced AI evaluation systems.

About the Role

We are looking for a Kubernetes Engineer (Freelancer) to support advanced AI evaluation initiatives focused on container orchestration, cloud-native infrastructure, distributed systems, and scalable deployment workflows.

In this role, you will work with AI-generated outputs related to Kubernetes clusters, containerized applications, CI/CD pipelines, cloud infrastructure, microservices, and infrastructure automation, helping improve how AI models understand and solve real-world cloud engineering challenges.

Your expertise will contribute to improving AI systems used for infrastructure scalability, cloud operations, DevOps automation, and modern platform engineering.

Responsibilities

• Create deliverables addressing common requests within your professional domain
• Annotate and evaluate AI-generated responses related to Kubernetes and cloud infrastructure systems
• Review peer-developed deliverables to improve AI research quality and consistency
• Assess AI outputs for scalability, reliability, deployment efficiency, security, and operational performance
• Identify infrastructure bottlenecks, orchestration issues, deployment failures, or configuration gaps in AI-generated solutions and provide structured feedback
• Support workflows involving Kubernetes clusters, Docker containers, microservices, CI/CD systems, and cloud-native architectures
• Contribute domain expertise to improve AI systems focused on DevOps, cloud infrastructure, and platform automation

Requirements

• Strong understanding of Kubernetes, Docker, container orchestration, and cloud-native technologies
• Experience with CI/CD pipelines, infrastructure automation, and distributed systems
• Familiarity with AWS, Azure, GCP, Helm, Terraform, Prometheus, Grafana, or similar DevOps tools is preferred
• Understanding of networking, monitoring, scalability, and cloud security best practices
• Experience managing production infrastructure or microservices environments is a plus
• Strong troubleshooting, analytical, and problem-solving skills
• Ability to work independently in a remote, fast-paced environment

Why Join Us

• Competitive hourly pay: ₹1200 – ₹2000/hour
• Fully remote with flexible working hours
• Opportunity to contribute to cutting-edge AI and cloud infrastructure research
• Exposure to scalable AI systems, DevOps automation, and next-generation platform engineering
• Flexible project-based opportunities with global teams