Position Overview

The Cloud Lead will be responsible for designing, implementing, and managing scalable cloud and container-based infrastructure solutions across on-premise and public cloud environments (AWS/GCP/Azure). The role requires deep expertise in Kubernetes, DevOps, Infrastructure as Code (IaC), and cloud-native technologies to drive modernization, automation, and reliability across enterprise systems. The Cloud Lead will work closely with cross-functional teams to define cloud strategy, ensure high availability, strengthen security posture, and optimize operational efficiency through automation and observability.

Key Responsibilities

Architect, deploy, and manage secure, scalable, and high-performing Kubernetes and cloud-based environments across hybrid or multi-cloud platforms
Implement Infrastructure as Code (IaC) using Terraform and automate deployment, scaling, and management workflows with Python and Shell scripting
Lead and guide DevOps initiatives—including CI/CD pipelines, GitOps practices, and SRE-focused reliability engineering—to ensure seamless integration and delivery
Establish observability frameworks using Prometheus, Grafana, ELK, Fluentbit, and related tools to enhance monitoring, logging, and incident response capabilities
Collaborate with development and architecture teams to design and support event-driven, microservices-based applications using Kafka, API Gateways (Kong), and gRPC/REST APIs
Drive security and compliance best practices across containerized and cloud-native environments, ensuring adherence to organizational and industry standards

10+ Years of experience in Linux/Unix, AWS/GCP/Azure Cloud, DevOps, and Container ecosystems
5+ Years of hands-on experience with Kubernetes (control plane, data plane, Docker) – deploying, managing, and scaling both on-prem and in cloud
Strong expertise in Infrastructure as Code using Terraform and automation with Python
Experience with Istio/Consul and Helm charts
Hands-on experience in setting up monitoring and observability for Kubernetes (Prometheus, ELK, Fluentbit, Grafana, etc.)
Strong understanding of networking, storage, and security across on-prem and cloud environments
Experience with API Gateways (Kong preferred), Kafka, and event-driven microservices architecture
Strong scripting experience (Python, Shell, etc.)
Knowledge of RESTful and gRPC APIs
Exposure to GitOps, CI/CD, and SRE practices

Experience in building distributed, multi-region Kubernetes clusters.
Hands-on experience with Tanzu and VMware Virtualization.
Understanding of container security (image, pod, network).
Solid knowledge of networking/firewall and storage within Kubernetes environments
Experience troubleshooting complex production systems.