DevOps Engineer / Cloud Engineer

We are looking for a highly skilled DevOps Engineer / Cloud Engineer with strong experience in Kubernetes, AWS networking, containerization, and infrastructure automation. The ideal candidate will have deep expertise in building and managing scalable cloud infrastructure and automating deployment pipelines in AWS environments.

This role requires someone who is hands-on with Kubernetes and container orchestration, has strong end-to-end AWS networking knowledge, and extensive experience with Docker and Terraform for infrastructure automation.

Key Responsibilities:

• Design, implement, and maintain scalable and secure cloud infrastructure on AWS.
• Build and manage Kubernetes clusters for container orchestration and microservices deployment.
• Develop and maintain infrastructure as code using Terraform or CloudFormation.
• Implement and manage containerized environments using Docker.
• Design and manage AWS networking architecture, including VPCs, subnets, routing, security groups, load balancers, and connectivity.
• Build and maintain CI/CD pipelines for automated application deployments.
• Develop Python scripts for automation, monitoring, and operational tasks.
• Implement monitoring, logging, and alerting solutions using tools such as Prometheus, Grafana, and ELK stack.
• Ensure infrastructure reliability, security, and high availability across environments.
• Collaborate with development teams to support microservices-based architectures and DevOps best practices.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience as a DevOps Engineer or Cloud Engineer.
• Strong hands-on experience with Kubernetes (cluster setup, management, and troubleshooting).
• Deep knowledge of AWS services and networking architecture including VPC, routing, load balancing, security groups, and connectivity.
• Extensive experience with Docker and containerization.
• Strong experience with Terraform or other Infrastructure-as-Code tools.
• Proficiency in Python scripting for automation.
• Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline.
• Strong experience with Linux administration and shell scripting.
• Solid understanding of networking, security, and load balancing principles.
• Experience with monitoring and observability tools such as Prometheus, Grafana, and ELK.

Preferred Qualifications:

• AWS Certified DevOps Engineer or Solutions Architect certification.
• Experience with serverless architecture using AWS Lambda.
• Experience working with microservices architecture.
• Familiarity with Agile/Scrum development practices.
• Experience with GitOps tools such as ArgoCD.