DevOps Engineer (AWS, Python, Kubernetes)

Key Responsibilities

• Design, implement, and manage cloud infrastructure on AWS.
• Build, maintain, and optimize CI/CD pipelines for application deployments.
• Deploy, manage, and troubleshoot Kubernetes clusters and workloads.
• Develop Python scripts to automate operational tasks, deployments, and monitoring.
• Containerize applications using Docker and deploy them on Kubernetes.
• Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Monitor application and infrastructure health using cloud-native and open-source monitoring tools.
• Configure logging, alerting, and incident response processes.
• Implement security best practices for cloud infrastructure and Kubernetes environments.
• Collaborate with development teams to improve deployment automation and release processes.
• Troubleshoot production issues and perform root cause analysis.
• Ensure high availability, scalability, and disaster recovery of applications and infrastructure.

Qualifications

• 4+ years of experience in DevOps engineering, with a focus on AWS Cloud, Kubernetes, Python, and CI/CD automation.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Hands-on experience with AWS services such as EC2, S3, RDS, VPC, and IAM.
• Experience with Kubernetes, including cluster management, pod scheduling, and service discovery.
• Strong proficiency in Python scripting for automation and data processing.
• Experience with Docker and container orchestration tools like Kubernetes.
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.
• Knowledge of cloud-native monitoring tools and practices.
• Experience with security best practices in cloud environments.
• Excellent problem-solving skills and ability to troubleshoot complex technical issues.
• Strong communication and collaboration skills, able to work effectively with cross-functional teams.