Sr. DevOps Engineer

DevOps Engineer

Key Responsibilities

• Design, automate, and manage scalable, secure, and high-availability cloud infrastructure.
• Implement Infrastructure as Code (IaC) using tools like Terraform or CloudFormation.
• Develop and maintain CI/CD pipelines with Jenkins, GitLab CI, CircleCI, or AWS CodePipeline.
• Automate routine tasks using Python and shell scripting.
• Monitor and optimize system performance using Prometheus, Grafana, ELK stack, or AWS CloudWatch.
• Manage databases (MySQL, PostgreSQL, MongoDB, DynamoDB), including backup, recovery, and performance tuning.
• Deploy and manage web applications on production environments with Nginx, Apache, or similar servers.
• Ensure cloud, networking, and server security using IAM, VPC, security groups, and firewalls.
• Manage source control and team collaboration using Git and branching strategies.
• Work with containerization and orchestration technologies (Docker, Kubernetes, ECS).
• Implement disaster recovery, backup, and high-availability strategies.
• Troubleshoot incidents, perform root cause analysis, and implement preventive measures.
• Collaborate with cross-functional teams, ensuring effective communication and documentation.

Required Skills & Experience

1. Automation & Infrastructure as Code (IaC)

• Hands-on experience with Terraform, AWS CloudFormation, or similar.
• Proficient in automating infrastructure deployment and management tasks.
• Knowledge of configuration management tools (Ansible, Chef, Puppet).

2. Monitoring & Logging

• Experience with monitoring tools (Prometheus, Grafana, ELK Stack, AWS CloudWatch).
• Ability to set up alerts, dashboards, and audit logs for system health and performance.

3. Cloud Platforms (AWS – Must Have GenAI Services Experience)

• Strong knowledge of AWS services: EC2, S3, RDS, Lambda, Bedrock, OpenSearch, Knowledgebase, IAM, VPC, CodeDeploy, CodePipeline, SQS, etc.
• Familiar with cloud-native architectures and multi-cloud environments (a plus).

4. Scripting & Automation

• Python:

  Scripting, automation, Boto3 for AWS, Flask/Django familiarity (bonus).

• Shell scripting:

  Strong skills in bash or similar for deployment and system automation.

5. Database Management

• Experience with MySQL, PostgreSQL, MongoDB, DynamoDB.
• Backup, recovery, performance tuning, and database security best practices.

6. Web Application Deployment & Server Management

• Experience with production deployments, web/application servers (Nginx, Apache).
• Knowledge of reverse proxies, SSL/TLS setup, and security hardening.

7. Security & Networking

• Cloud security best practices, IAM management, firewalls, and VPC configurations.
• Strong understanding of TCP/IP, DNS, HTTP/HTTPS, and load balancer setups.

8. CI/CD & Version Control

• Proficient in Git workflows (GitFlow, trunk-based) for multi-team management.
• Experience with CI/CD pipelines (Jenkins, GitLab CI, AWS Code Pipeline).
• Knowledge of containerization (Docker) and orchestration (Kubernetes, ECS).

9. High Availability & Scaling

• Load balancing strategies (AWS ELB, HAProxy), failover planning.
• Auto-scaling in cloud platforms and performance optimization.

10. Backup, Recovery & Incident Response

• Implementation of disaster recovery, redundancy strategies, and system resilience.
• Troubleshooting, root cause analysis, and preventive measures.

11. Collaboration & Project Management

• Strong communication and documentation skills.
• Ability to collaborate across teams and explain technical concepts to non-technical stakeholders.
• Familiarity with Agile methodologies (Scrum, Kanban) and tools (Jira, Trello) is a plus.

Preferred/Optional Skills

• Dockerfile and Docker Compose creation for multi-container applications.
• Serverless architecture with AWS Lambda, SQS, SNS.
• Project management and task prioritization.