Architect, implement, and support Kubernetes clusters on AKS and GKE, including upgrades, scaling, and day-2 operations. Engineer new Kubernetes capabilities and add-ons (e.g., Istio, Argo. CD, Velero, Cert Manager) based on evolving business requirements. Automate infrastructure provisioning, configuration, and management using Terraform, following Infrastructure-as-Code best practices. Integrate CI/ CD pipelines (e.g., Argo. CD, GitHub Actions) to automate application deployments and operational workflows. Leverage ServiceNow for ITSM process integration, including incident, change, and request management. Collaborate with cross-functional teams to ensure Kubernetes platforms meet product roadmap objectives, including high availability, security, compliance, and cost optimization. Enhance platform automation using AI/ ML-based tools for monitoring, scaling, self-healing, and anomaly detection. Develop and maintain technical documentation, architectural diagrams, and runbooks. Participate in agile ceremonies and iterative delivery cycles; provide timely status updates and support sprint goals. Troubleshoot and resolve issues related to Kubernetes workloads, networking (e.g., Istio Service Mesh), and integrations with enterprise services (e.g., Azure App Gateway, Akamai). Mentor team members and contribute to continuous improvement of engineering standards and best practices. Use your skills to make an impact Qualifications:Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience . years of hands-on experience managing Kubernetes clusters on AKS and GKE in production environments. Proficiency with Terraform and Infrastructure-as-Code workflows. Experience with GitHub for source control, code reviews, and workflow automation. Familiarity with ServiceNow or similar ITSM tools. Deep understanding of Kubernetes add-ons (e.g., Istio, Argo. CD, Velero, Cert Manager) and security practices (RBAC, TLS/m. TLS). Experience engineering and integrating automation solutions and AI/ ML for cloud platforms. Strong troubleshooting, analytical, and problem-solving skills. Demonstrated success delivering in agile, fast-paced, and cross-functional environments. Excellent written and verbal communication skills. Preferred Skills:Experience with cloud Fin. Ops, observability (Dynatrace, Splunk), and network security (Calico, Prisma Twistlock). Certification in Kubernetes (CKA/ CKAD), Azure, or Google Cloud.