Cloud DevOps Engineer - Elastic Kubernetes Service

Job Title : Cloud DevOps Engineer

Loc : Hyderabad & Bangalore (WFO)

Experience : 7+y Mandatory

Job Description :

Role : Cloud DevOps Engineer (AWS + EKS)

Exp : 7+ years

Candidate should have deep technical expertise in Kubernetes (EKS), ArgoCD, AWS services, CI/CD automation, observability platforms, and container build pipelines.

This role involves managing DevOps processes for microservice development teams, ensuring reliability, scalability, and operational excellence across multiple environments.

Qualifications :

- 7+ years of experience as a Cloud / DevOps Engineer with strong hands-on expertise in AWS and Kubernetes (EKS).

- Proven experience implementing CI/CD and GitOps pipelines using ArgoCD for microservices-based applications.

- Strong knowledge of AWS services including VPC, IAM, ALB/NLB, ECR, S3, and container orchestration best practices.

- Hands-on experience with container build and deployment pipelines, including Dockerless builds using Kaniko.

- Expertise in observability and monitoring tools such as Dynatrace, Prometheus, and Grafana.

- Solid understanding of microservices architecture, scalability, reliability, and operational excellence in production environments

Responsibilities :

Kubernetes & Cloud Infrastructure :

- Architect, deploy, and manage scalable workloads on Amazon EKS.

- Implement and maintain Kubernetes components including Ingress Controllers, Services, Deployments, Stateful Sets, ConfigMaps, and Secrets.

- Design multi-environment deployment topologies and cluster governance.

CI/CD & GitOps :

- Build and manage automated deployment pipelines using ArgoCD (GitOps).

- Drive GitOps best practices across microservice teams.

- Implement container image build and optimization using Kaniko (Dockerless builds).

AWS Cloud Services :

- Manage AWS services related to compute, networking, and storage for DevOps workloads.

- Use VPC, IAM, ALB/NLB, ECR, S3, DynamoDB, Lambda (if required).

Observability & Monitoring :

- Integrate and manage observability tools :

1. Dynatrace Application Performance Monitoring

2. Prometheus & Grafana Cluster and application metrics

- Create actionable dashboards and alerting rules.

Operational Activity :

- Manage workload allocation.

- Implement standard operating procedures for deployments, incident response, and microservice management.

- Work with developers to assist in microservices onboarding, migration, and environment setup.

- Improve system scalability, availability, and performance.

Important interview Question :

Kubernetes / EKS :

- How do you design a production-grade EKS cluster for multi-environment microservices?

- What strategies do you use for zero-downtime deployments in Kubernetes?

- Explain how Ingress Controllers work.

- How would you scale Kubernetes workloads automatically based on custom metrics?

- Describe best practices for Kubernetes multi-tenancy and namespace governance.

GitOps / ArgoCD :

- What is the difference between ArgoCD pull-based deployment vs traditional CI/CD push-based deployment?

- How do you handle ArgoCD sync waves, health checks, and dependency ordering?

- How do you implement security in ArgoCD (RBAC, SSO, repo access, secret handling)?

- How do you troubleshoot ArgoCD applications stuck in OutOfSync or Progressing states?

AWS & Networking :

- How do you design a secure VPC architecture for EKS (public/private subnets, NAT, routing)?

- Explain the networking flow between AWS Load Balancers and Kubernetes pods.

- What are best practices for IAM permissions in a DevOps/Kubernetes environment?

CI/CD & Containers :

- Why would you use Kaniko instead of Docker for image builds?

- How do you secure a container supply chain pipeline end-to-end?

- How do you handle multi-environment deployments in a GitOps workflow?

Observability :

- What is the difference between infrastructure metrics and application metrics?

- How do you design an alerting strategy that avoids noise and focuses on SLO/SLA?

- How does Dynatraces OneAgent work inside a Kubernetes cluster?

- How do you standardize microservices onboarding in a large organization?

- Describe a major production incident you handled and the DevOps processes you improved afterward.

- Along with Above Python Script is mandatory.