DevOps Engineer Support - Lead

Job Description DevOps Engineer/Support - Lead Position: DevOps Engineer/Support - Lead Experience: 5 to 8 years of experience Location: Bangalore Job Type: Full-time Job Overview: We are seeking DevOps Engineer Lead to support and enhance our cloud infrastructure and work with Data engineers in MLOps area. The ideal candidate should have experience in AWS, CI/CD pipelines, Kubernetes, Terraform, Ansible and Python . Should have worked with Data scientists/engineers in machine learning models, MLOps and Python. Exposure to OCI, and HashiCorp Nomad is preferred. Key Responsibilities: Manage and Automate Infrastructure Use Terraform to provision and manage AWS and OCI resources. CI/CD Pipelines Develop, maintain, and optimize Jenkins/Bitbucket-based CI/CD pipelines. Container Orchestration Deploy, monitor, and manage Kubernetes clusters . Collaborate with data scientists and engineers to deploy, monitor, and maintain machine learning models in production. Automate end-to-end ML workflows using CI/CD pipelines Manage model versioning, experiment tracking, and metadata using tools like MLflow or DVC. Ensure reproducibility, scalability, and reliability of ML pipelines Monitor model performance and data drift in production. Maintain and improve infrastructure for model training, validation, and inference . Setup ML observability Cloud Operations Support Troubleshoot and maintain cloud environments in AWS and OCI . Configuration Management Automation Use Ansible for system provisioning and automation. Monitoring Incident Response Ensure high availability and proactively resolve infrastructure issues. Security Compliance Implement security best practices for cloud infrastructure. Required Skills Qualifications: AWS Hands-on experience with core AWS services (EC2, S3, IAM, RDS, etc.). AWS : SageMaker, S3, Step Functions CI/CD Proficiency in Jenkins, Bitbucket Pipelines or similar tools. Kubernetes Experience managing K8s clusters and deployments. Terraform Strong expertise in Infrastructure-as-Code (IaC). Scripting Automation Python scripting for automations and MLOps. MLOps Familiarity with ML workflow orchestration tools like MLFlow, Airflow, Kubeflow. Linux Networking Good knowledge of system administration and networking. Problem-Solving Debugging Ability to troubleshoot cloud infrastructure and deployments. Preferred (Good to Have) Skills: OCI (Oracle Cloud Infrastructure) Experience with OCI services. Ansible Configuration management experience. HashiCorp Nomad Knowledge of workload orchestration. Not necessarily building models, but must understand: Model metrics: accuracy, precision, recall, F1-score Overfitting/underfitting Supervised vs unsupervised learning Familiarity with Python , Jupyter Notebooks , and scikit-learn ecosystem Why Join Us Work on cutting-edge cloud technologies and DevOps automation. Career growth opportunities in a fast-paced DevOps environment. Collaborative and learning-focused team culture.