DevOps / Cloud Engineer

Key Responsibilities

• Design, build, and maintain High Availability (HA) Kubernetes clusters.
• Work extensively on AWS services such as EC2, VPC, Load Balancers, Auto Scaling, VPC Peering, S3, IAM, SNS, SES, etc.
• Develop automation scripts for EC2 provisioning, Kubernetes upgrades, and automated deployments.
• Manage CNI networking using Calico/Weave.
• Work with API Gateways like Emissary and Envoy.
• Deploy and manage Kafka clusters using the Strimzi Operator.
• Deploy and manage microservices on Kubernetes.
• Monitor, manage, and maintain Development, QA, and Production environments.
• Analyze cloud usage and implement cost optimization strategies.
• Participate in 24/7 production support on a rotational basis.
• Design and implement DevOps automations and lifecycle processes.
• Manage configuration, deployments, and orchestration using Kubernetes/Docker Swarm.
• Build and maintain CI/CD pipelines using Jenkins, Argo CD, Bitbucket Pipelines.
• Configure networking including VPN, routing, HTTPS/SSL, and load balancing.
• Support ELK Stack for logging and monitoring.
  

Required Skills & Technologies

Cloud Platforms

• AWS: VPC, Route 53, EC2, Auto Scaling, ELB, SES, SNS, NAT Gateway, EIP, API Gateway, CloudWatch, CloudFormation, Security Groups, Subnets, ACLs, VPC Peering.
  

DevOps & CI/CD

• Docker, Kubernetes, Jenkins, Argo CD, Ansible, GitHub/Bitbucket, Bitbucket Pipelines.
  

Artifact Management

• Nexus (or equivalent)
  

Infrastructure as Code (IaC)

• Terraform, Crossplane, or CloudFormation
  

Monitoring & Logging

• ELK Stack, Prometheus, Grafana, CloudWatch
  

Scripting & OS

• Strong Shell scripting (Bash) on Linux/Ubuntu
  

Networking

• VPN configuration, routing, load balancing, HTTPS/SSL
  

Experience Required

• 3+ years in Configuration Management and CI/CD implementation
• 2-4 years in Docker, Kubernetes, Jenkins, Linux scripting
• 3+ years in Shell scripting and cloud automation (AWS/Azure)
• 2+ years handling Production cloud environments
• Hands-on experience with Terraform/Crossplane/CloudFormation
• Experience with Elasticsearch clustering and HTTPS/SSL setup
• Strong communication and troubleshooting skills
  

Preferred Qualifications

• Exposure to multi-cloud (AWS/Azure)
• Experience in cloud cost optimization & scaling
• Familiarity with secure DevOps practices
• Basic understanding of AI/LLM concepts (added advantage)