Job
Description
Kubernetes Engineer Location: Hyderabad, India (On-Site) Company: Turium AI - Pioneering Enterprise AI Solutions About Turium AI Turium AI is at the forefront of building intelligent, enterprise-grade AI solutions. We empower global organizations to transform their business operations through scalable and secure AI systems. As part of our continued growth, were looking for a skilled Kubernetes Engineer to join our DevOps & Infrastructure team in Hyderabad. Role Overview We are seeking a Kubernetes Engineer who will be responsible for building and maintaining scalable, resilient, and secure Kubernetes infrastructure to power our AI platforms and services. You will work closely with ML engineers, software developers, and DevOps to ensure smooth deployment and operation of AI workloads. Key Responsibilities Design, deploy, and maintain Kubernetes clusters on cloud platforms (e.g., AWS EKS, Azure AKS, GCP GKE) Develop and maintain Helm charts, Kubernetes manifests, and custom controllers Automate CI/CD pipelines with tools like GitHub Actions, ArgoCD, or Jenkins Ensure high availability, performance, and security of containerized AI workloads Implement monitoring, alerting, and logging using Prometheus, Grafana, ELK/EFK stack, or Loki Support the ML/AI team with model deployments, auto-scaling, GPU scheduling, and inference infrastructure Troubleshoot infrastructure and deployment issues across staging and production Collaborate with security teams to ensure compliance and secure configurations (RBAC, network policies, secrets management) Required Qualifications 3-6 years of experience in DevOps, Site Reliability Engineering, or Platform Engineering Hands-on experience with Kubernetes in production environments Proficient in Helm, Docker, GitOps, and IaC tools (Terraform, Pulumi preferred) Experience with at least one major cloud platform (AWS, GCP, or Azure) Solid scripting skills in Bash, Python, or Go Strong understanding of networking, service meshes (e.g., Istio), and observability stacks Familiarity with container security best practices Preferred Qualifications Experience supporting AI/ML pipelines and GPU workloads in Kubernetes Knowledge of Kubeflow, MLflow, or other AI/ML orchestration frameworks CNCF certifications (CKA, CKAD) Experience with serverless tools, eBPF, or service mesh optimization MUST: Ability to work hours in Australian Eastern Daylight Time (AEDT)/Australian Eastern Standard Time (AEST) What We Offer Opportunity to work at the cutting edge of AI and enterprise infrastructure Competitive compensation with performance bonuses Work with a highly skilled and collaborative global team Flexible working hours and remote-friendly culture Career growth through exposure to AI, MLOps, and DevSecOps ecosystems Turium Inc. and Xaana Pty Ltd are equal opportunity employers. We celebrate diversity and are committed to creating an inclusive environment for all employees.
