About the Company:

Everest DX – We are a Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies.

Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our Digital

Platform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation.

Digital Platform - Cloud Intelligent Management (CiM) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed.

To know more please visit: http://www.everestdx.com

Experience: 5–10 Years

Role Type: Cloud-Native Platform Operations / L3 Production Support

Work Mode: Hybrid / On-site, as per project requirements

Support Model: 24×5 rotational support

Role Overview

We are looking for an experienced L3 Platform Support Engineer to provide advanced technical support for enterprise Kubernetes platforms and cloud-native infrastructure. The role involves resolving complex production incidents, performing root-cause analysis, maintaining platform availability, improving operational automation, and supporting multi-cluster environments across public cloud and on-premises infrastructure.

Key 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 1. Kubernetes & Multi-Cluster Operations

- Strong 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.

2. 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.

3. Observability & Incident Management

- Experience with Prometheus, Grafana, Elastic Stack, OpenTelemetry, or equivalent monitoring platforms.
- Exposure to APM tools such as AppDynamics or similar solutions.
- Solid 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.

4. 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.

5. 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.

6. 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.

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