We are seeking a highly skilled and proactive DevOps Engineer with a strong background in CI/CD, cloud infrastructure, automation, and system reliability.

In this role, you will collaborate closely with development and operations teams to streamline deployment processes, improve system performance, and ensure high availability of applications in a fast-paced environment.

Key Responsibilities :

- Design, implement, and manage CI/CD pipelines for automated build, test, and deployment processes.

- Manage and optimize cloud infrastructure (AWS/Azure/GCP) with a strong focus on scalability, reliability, and cost efficiency.

- Implement and maintain Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Ansible.

- Monitor, troubleshoot, and improve system performance, availability, and reliability.

- Automate operational workflows and repetitive tasks to improve engineering efficiency.

- Oversee containerization and orchestration using Docker, Kubernetes, ECS, or EKS.

- Ensure robust monitoring, logging, and alerting using tools like Prometheus, Grafana, ELK, or CloudWatch.

- Collaborate with development teams to integrate DevOps best practices and optimize SDLC workflows.

- Maintain security best practices across infrastructure, deployments, and cloud environments.

Required Skills & Experience:

- 4 - 7 years of experience in DevOps Engineering or related roles.

- Strong expertise in at least one major cloud platform (AWS, Azure, or GCP).

- Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or CircleCI.

- Proficiency with Docker and container orchestration platforms like Kubernetes/EKS/ECS.

- Strong scripting skills in Python, Shell, or Bash.

- Experience with IaC tools like Terraform, Ansible, or CloudFormation.

- Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog, CloudWatch).

- Solid understanding of Linux administration, networking concepts, and security best practices.

- Experience supporting scalable, distributed systems in production environments.

Preferred (Good to Have) :

- Exposure to microservices architecture.

- Experience with serverless technologies (AWS Lambda, Azure Functions, etc.

- Knowledge of SDLC and Agile methodologies.

- Certifications in AWS/Azure/GCP (optional but beneficial)