Job highlights

- Required Technical Skills
- Preferred Qualifications: Experience supporting large-scale,business-critical enterprise platforms

- Kubernetes Multi-Cluster Operations: Strong troubleshooting experience with Kubernetes,Docker,Helm,and containerized workloads

- Experience supporting EKS,AKS,and other Kubernetes distributions

Responsibilities

- Provide L3 support for Kubernetes clusters, container platforms, cloud infrastructure, and platform services.

- Troubleshoot complex issues involving cluster availability, node failures, networking, DNS, storage, ingress, and workload scheduling.

- Manage escalated incidents, problem records, and service requests within defined SLAs.

- Perform root-cause analysis (RCA), implement permanent fixes, and track corrective and preventive actions.

- Support Kubernetes lifecycle operations, including upgrades, patching, configuration changes, and capacity management.

- Investigate CI/CD pipeline failures, GitOps synchronization issues, deployment failures, and infrastructure provisioning errors.

- Monitor platform health, investigate alerts, and resolve issues using observability and APM tools.

- Troubleshoot security and policy violations, RBAC issues, certificate expirations, image vulnerabilities, and compliance findings.

- Support persistent storage, backup and recovery, stateful applications, and data availability issues.

- Investigate cloud resource consumption, capacity constraints, GPU utilization, and infrastructure cost anomalies.

- Execute approved production changes, maintain runbooks, and participate in change and release management.

- Collaborate with L2 support, SRE, engineering, security, and cloud teams for complex incident resolution.





- Identify repetitive incidents and develop scripts, automation, and operational improvements to reduce manual intervention.

- Prepare incident reports, RCA documents, operational dashboards, and service-health reports.

Required Technical Skills

- Kubernetes Multi-Cluster Operations: Robust troubleshooting experience with Kubernetes, Docker, Helm, and containerized workloads.

Experience supporting EKS, AKS, and other Kubernetes distributions. Knowledge of Rancher, K3s, RKE2, cluster upgrades, node management, and workload scheduling. Expertise in diagnosing pod crashes, OOMKilled events, CrashLoopBackOff, resource exhaustion, and cluster instability.

- Cloud Infrastructure DevOps: Hands-on operational experience with AWS, Azure, and/or on-premises environments.

Experience with Terraform, Ansible, CI/CD pipelines, Git, and deployment troubleshooting. Ability to diagnose infrastructure provisioning failures and configuration drift. Scripting knowledge in Python, Bash, or PowerShell for operational automation.

- Observability Incident Management: Experience with Prometheus, Grafana, Elastic Stack, OpenTelemetry, or equivalent monitoring platforms. Exposure to APM tools such as AppDynamics or similar solutions. Strong knowledge of alert triage, log analysis, performance troubleshooting, and incident correlation.





Experience with ITSM tools such as ServiceNow and adherence to incident, problem, and change management processes.

- Security Policy Management: Troubleshooting of RBAC, IAM, secrets, certificates, container security, and network policies. Exposure to Kyverno, OPA, or other policy-management solutions. Ability to investigate policy violations and remediate security and compliance findings.

- Networking Storage: Troubleshooting Kubernetes networking, CNI, DNS, ingress, service mesh, and connectivity issues.

Experience diagnosing persistent volume, CSI driver, storage capacity, mount, and backup/restore failures. Understanding of Istio and service-to-service communication is an advantage.

- Cost, GPU AI Platform Support: Exposure to Kubecost, Flexera, or similar cost-management tools. Ability to investigate resource utilization, capacity constraints, and cost anomalies. Familiarity with NVIDIA GPU infrastructure and AI/ML or LLM hosting environments is desirable.

- Preferred Qualifications: Experience supporting large-scale, business-critical enterprise platforms. Strong understanding of ITIL-based incident, problem, and change management.

Experience with on-call support, escalation management, post-incident reviews, and SLA reporting. Ability to work independently on complex technical issues and coordinate across multiple teams.

Relevant

Kubernetes, cloud, or IT service management certifications are desirable.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Platform Support Engineer -AKS/EKS (Hyderabad)
🏢 EverestDX
📍 Hyderabad