DevOps / Infrastructure Engineer

DevOps / Infrastructure Engineer (L5)Experience: 5+ Years Openings: 1 Role Location: On-site MumbaiTime-zone-: ISTRole OverviewWe are seeking a DevOps / Infrastructure Engineer to own and scale cloud-native infrastructure supporting modern, AI-driven platforms. This role focuses on Kubernetes-based environments, GPU infrastructure, and highly reliable CI/CD pipelines, working closely with ML and engineering teams to enable efficient model deployment and inference at scale.Key Responsibilities• Cloud & Kubernetes OperationsManage and maintain Kubernetes clusters across AWS and Azure, including GPU-enabled infrastructure for AI and ML workloads.• CI/CD & AutomationDesign, build, and operate robust CI/CD pipelines to support continuous integration, testing, and deployment of services and models.• Observability & ReliabilityImplement and maintain monitoring, alerting, and logging systems using tools such as Prometheus and Grafana to ensure system reliability and performance.• ML Platform EnablementSupport deployment, scaling, and optimisation of ML models and vector databases, ensuring low-latency and cost-efficient inference.• Cross-Functional CollaborationWork closely with ML and platform engineering teams to optimise infrastructure for training, serving, and inference workloads.• Infrastructure as CodeBuild and manage cloud infrastructure using Infrastructure-as-Code (IaC) tools such as Terraform to ensure repeatability and scalability.*Requirements* 5+ years of experience in DevOps, Infrastructure Engineering, or Site Reliability Engineering (SRE).• Strong hands-on experience with Docker, Kubernetes, Terraform, and modern CI/CD systems.• Solid expertise across cloud platforms, particularly AWS and/or Azure.• Experience implementing monitoring and logging solutions (Prometheus, Grafana,or equivalent).• Familiarity with ML/AI workloads, GPU infrastructure, or model-serving platformsis a strong plus.

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