Key Responsibilities:
Infrastructure Management:
- Design and architect: Craft robust and scalable infrastructure solutions using AWS services like EC2, VPCs, S3, and RDS.
- Deployment and automation: Master provisioning and configuration with tools like CloudFormation, Terraform, and Ansible. Automate infrastructure scaling and resource allocation with Auto Scaling groups and Lambda@Edge.
- Containerization: Champion containerization using Docker and orchestrate deployments with Kubernetes (EKS) for microservices architectures.
- Serverless: Leverage serverless technologies like Lambda and Step Functions to build event-driven, cost-efficient applications.
- Security: Implement robust security measures like IAM roles, VPC security groups, and encryption at rest and in transit. Configure CloudTrail logging and CloudWatch monitoring for enhanced visibility and compliance.
CI/CD Pipelines:
- Design and implement: Build secure and efficient CI/CD pipelines using tools like Jenkins, CodePipeline, or CodeBuild. Integrate continuous testing and automated deployments into the pipeline.
- Infrastructure as Code (IaC): Enforce consistency and repeatability with IaC tools like Terraform and CloudFormation.
- Version control: Utilize Git and CodeCommit/BitBucket for code and infrastructure version control and management.
Monitoring and Troubleshooting:
- Proactive monitoring: Configure CloudWatch alarms and dashboards to monitor key metrics and identify potential issues before they impact users.
- Logging: Implement centralized logging solutions like CloudWatch Logs and integrate them with SIEM tools for deeper analysis.
- Troubleshooting: Possess the expertise to diagnose and resolve infrastructure and application issues within AWS services. Collaborate with developers to identify and fix root causes.
- Incident response: Lead the team during service disruptions, implementing recovery plans and minimizing downtime.
Additional Responsibilities:
- Cost optimization: Analyze costs and implement strategies to optimize resource usage and reduce cloud spend.
- Automation: Identify opportunities for automating repetitive tasks and develop custom scripts using AWS CLI, Python, or Bash.
- Knowledge sharing: Mentor junior engineers, document processes, and contribute to building a culture of continuous learning and improvement.
- Stay updated: Keep pace with the ever-evolving AWS landscape by attending training, participating in the AWS community, and exploring new services and features
Key Skill Sets:
Kubernetes, Docker, Python, AWS Cloud Infrastructure, Security, Knowledge of Big Data Processing is good to have, Exposure to ElasticSearch, Logstash, Kibana stack, Monitoring and Alerting system like graylog, new relic
Key Requirements:
- Degree in Computer Science, Engineering or a related field
- You have prior experience as a DevOps engineer
- Familiarity with software release management and deployment (Git, CI/CD)
- Solid understanding of DevOps principles and practices
- Knowledge of systems and platforms security
- You have good problem-solving skills and attention to detail
