DevOps Engineer - CI/CD Pipeline (3-5 yrs)

The role of an AWS DevOps Engineer involves working with a team who are responsible for automating design, coding, and deployment of infrastructure within an AWS Environment. Developing CI/CD pipelines, instrumenting code to report relevant metrics, and building safe and efficient build processes are all a part of the role of an AWS DevOps Engineer.

Role : DevOps Engineer

Location : Pune/ Gurgaon

Experience : 3+ years

NOTE : Immediate joiner

Primary Responsibilities :

1. Design and implement CI/CD pipelines to automate model deployment and infrastructure management.

2. Containerize ML applications using Docker and orchestrate them with Kubernetes.

3. Set up infrastructure as code (IaC) for cloud-based deployments using Terraform.

4. Implement monitoring, logging, and alerting mechanisms for ML model performance tracking.

Key Skills Required :

1. 3+ years of experience in DevOps, infrastructure automation, and cloud computing.

2. Proficiency in Bash, Python, and Terraform for infrastructure automation.

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

4. Strong understanding of Docker, Kubernetes, and Helm for container orchestration.

5. Experience in AWS Cloud Platform for scalable infrastructure management.

6. Deployment, automation, management, and maintenance of AWS cloud-based production system.

7. Ensuring availability, performance, security, and scalability of AWS production systems.

8. Management of creation, release, and configuration of production systems.

9. Evaluation of new technology alternatives and vendor products.

10. System troubleshooting and problem resolution across various application domains and platforms.

11. Pre-production acceptance testing for quality assurance.

12. Provision of critical system security by leveraging best practices and prolific cloud security solutions.

13. Providing recommendations for architecture and process improvements.

14. Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.

15. Designing, maintenance and management of tools for automation of different operational processes.