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