TECHNICAL LEAD - AWS Cloud

Responsibilities

• Hands-on design, implementation, and operation of Kubernetes clusters (AKS, EKS, GKE) including upgrades, scaling, node pools, networking, and cluster add-ons.
• Hands-on deployment and management of containerized workloads, including Helm charts, Kustomize, operators, service mesh, ingress controllers, and autoscaling.
• Develop and maintain Terraform modules for Kubernetes clusters, cloud resources, and platform components.
• Build, optimize, and maintain CI/CD pipelines (GitHub Actions, Azure Pipelines) specifically for containerized applications and GitOps workflows.
• Implement Kubernetes-native automation such as admission controllers, policy engines, automated remediation, and cluster governance.
• Define and enforce DevOps processes for build, test, release, and production operations in a Kubernetes-first environment.
• Lead hands-on incident management and root-cause analysis for cluster failures, workload issues, networking problems, and cloud infrastructure incidents.
• Work directly with application teams to onboard workloads to Kubernetes: pod design, resource sizing, capacity planning, troubleshooting, and performance tuning.
• Manage cloud infrastructure supporting Kubernetes: VPC/VNet design, load balancers, storage classes, registries, identity, secrets, and observability stacks.
• Implement security as code across clusters: RBAC, Pod Security Standards, network policies, image scanning, compliance automation, and secret management.
• Mentor engineers through hands-on guidance, code reviews, architecture reviews, and troubleshooting sessions.
• Support data workloads, including Databricks deployments integrated with cloud and Kubernetes environments.

Skills & Qualifications

• Bachelor?s degree in computer science, information technology, or related field.
• Fluent in English.
• 9+ years of hands-on experience designing and operating cloud solutions on AWS, Azure, and GCP.
• Deep hands-on Kubernetes experience (AKS, EKS, GKE) including cluster lifecycle, workload orchestration, networking, storage, and security.
• Advanced Terraform experience, building reusable modules and multi-cloud provisioning.
• Hands-on CI/CD experience with GitHub Actions, Azure Pipelines, and container-focused delivery pipelines.
• Strong scripting experience with PowerShell, Bash, Ansible, Chef, or Puppet.
• Solid Linux fundamentals and container runtime knowledge.
• Good understanding of programming languages such as Python.
• Hands-on experience with Databricks and cloud-native data engineering environments.
• Excellent troubleshooting skills across Kubernetes, cloud infrastructure, and distributed systems.