We are seeking a DevOps Engineer to design, implement, and manage scalable cloud infrastructure and CI/CD pipelines for Data and Machine Learning platforms. The ideal candidate will have good experience with AWS Cloud, Terraform, and automation frameworks supporting end-to-end ML lifecycle operations.

Key Responsibilities :

- Design and implementation of DevOps solutions for Data and ML workloads.

- Build and maintain CI/CD pipelines for data ingestion, model training, and deployment.

- Manage and optimize AWS cloud infrastructure ensuring scalability, security, and cost efficiency.

- Automate infrastructure provisioning and configuration using Terraform or similar IaC tools.

- Collaborate closely with Data Engineers, ML Engineers, and Software teams to streamline MLOps workflows.

- Establish monitoring, logging, and alerting systems for proactive performance management.

- Define and enforce best practices for cloud security, access control, and compliance.

- Mentor DevOps team members and drive automation-first culture across engineering teams.

Required Skills & Qualifications :

- Good expertise in AWS Cloud services (EC2, S3, EKS, Lambda, CloudFormation, IAM, etc.).

- Proven experience in CI/CD automation using Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline.

- Hands-on proficiency with Terraform for infrastructure provisioning and automation.

- Experience with containerization and orchestration (Docker, Kubernetes).

- Familiarity with MLOps concepts and workflows - including model deployment, monitoring, and retraining.

- Solid understanding of networking, security, and infrastructure as code (IaC) principles.

- Strong scripting knowledge in Python, Bash, or similar languages.

- Excellent communication and leadership skills with the ability to collaborate across teams.

Good To Have :

- Exposure to data engineering pipelines (Airflow, Kafka, Spark).

- Experience integrating with AWS SageMaker or Bedrock for ML workflows.

- Familiarity with observability stacks (Prometheus, Grafana, ELK, or CloudWatch).

Education :

- Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

- Relevant certifications (e.g., AWS Certified DevOps Engineer, Terraform Associate) are a plus.