We are seeking a highly skilled DevOps Engineer to join our dynamic team.

The ideal candidate will have strong expertise in automation, cloud infrastructure (with a focus on AWS and GenAI services), CI/CD, and containerization, along with a deep understanding of security best practices, monitoring, and system optimization.

This role requires a balance of technical proficiency, problem-solving, and collaboration skills to ensure smooth deployment, scalability, and reliability of applications and infrastructure.

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 :

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).

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.

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).

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.

Database Management :

- Experience with MySQL, PostgreSQL, MongoDB, DynamoDB.

- Backup, recovery, performance tuning, and database security best practices.

Web Application Deployment & Server Management

- Experience with production deployments, web/application servers (Nginx, Apache).

- Knowledge of reverse proxies, SSL/TLS setup, and security hardening.

Security & Networking :

- Cloud security best practices, IAM management, firewalls, and VPC configurations.

- Strong understanding of TCP/IP, DNS, HTTP/HTTPS, and load balancer setups.

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).

High Availability & Scaling :

- Load balancing strategies (AWS ELB, HAProxy), failover planning.

- Auto-scaling in cloud platforms and performance optimization.

Backup, Recovery & Incident Response :

- Implementation of disaster recovery, redundancy strategies, and system resilience.

- Troubleshooting, root cause analysis, and preventive measures.

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.