Job highlights

- Required Technical Skills

- Preferred Qualifications
- Kubernetes Cloud Platforms: Strong hands-on experience with Kubernetes,Docker,Helm,and container orchestration

- Experience with Amazon EKS,Azure AKS,and other Kubernetes distributions

- Experience with persistent storage,cloud storage integrations,CSI drivers,and backup / recovery solutions.

Responsibilities

- Design, build, and maintain Kubernetes-based platforms across multi-cluster and hybrid-cloud environments.

- Develop and maintain platform automation, Infrastructure as Code (IaC), and CI/CD pipelines.

- Implement DevSecOps practices, policy-as-code, security controls, and automated compliance checks.

- Configure and integrate observability solutions for metrics, logs, traces, alerting, and performance monitoring.

- Develop reusable platform components, self-service workflows, and golden paths for application teams.

- Implement container networking, service mesh, ingress, load balancing, and cluster lifecycle management.

- Design and manage cloud storage, persistent volumes, backup, recovery, and data protection capabilities.

- Build and maintain GPU-enabled infrastructure and platform services supporting AI/ML and LLM workloads.

- Integrate cost-management and FinOps capabilities to optimize cloud and infrastructure consumption.

- Collaborate with application, security, SRE, and architecture teams to establish platform standards and best practices.

- Troubleshoot complex platform issues, improve reliability, and document architectural decisions and operational procedures.

Required Technical Skills

- Kubernetes Cloud Platforms: Strong hands-on experience with Kubernetes, Docker, Helm, and container orchestration.

Experience with Amazon EKS, Azure AKS, and other Kubernetes distributions. Knowledge of multi-cluster management, Rancher, K3s, RKE2, and hybrid-cloud/on-premises deployments.





- DevOps Automation: Expertise in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent. Infrastructure as Code using Terraform, Ansible, or similar tools. Solid scripting skills in Python, Bash, or Go. GitOps practices and automated configuration management.

- Security Policy Management: Experience with RBAC, IAM, secrets management, image scanning, and container security. Familiarity with policy-as-code tools such as Kyverno or Open Policy Agent (OPA). Understanding of Kubernetes network policies and compliance automation.

- Observability APM: Experience with Prometheus, Grafana, Elastic Stack, OpenTelemetry, or equivalent. Knowledge of application performance monitoring, distributed tracing, log aggregation, and alerting.

- Networking Storage: Knowledge of Kubernetes networking, CNI, ingress controllers, DNS, and service mesh technologies such as Istio.

Experience with persistent storage, cloud storage integrations, CSI drivers, and backup/recovery solutions.

- Cost Management AI Infrastructure: Familiarity with Kubecost, Flexera, or similar cloud cost-management platforms. Understanding of GPU infrastructure, NVIDIA technologies, and resource scheduling for AI/ML workloads. Exposure to LLM hosting, AI agents, and Model Context Protocol (MCP) is an advantage.

Preferred Qualifications

- Experience building internal developer platforms or platform-as-a-product capabilities.

- Exposure to self-hosted build agents, COTS application platforms, stateful applications, and IoT edge workloads.

- Relevant cloud or Kubernetes certifications are desirable.

- Strong problem-solving, documentation, and cross-functional collaboration skills.

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 Engineering Engineer - DevOps (Hyderabad)
🏢 EverestDX
📍 Hyderabad