AWS DevOps Engineer

Overview

About the Role

We are seeking an experienced Senior DevOps/MLOps Engineer to lead and manage a high-performing engineering team. You will oversee the deployment and scaling of machine learning models and backend services using modern DevOps and MLOps practices. Proficiency in FastAPI, Docker, Kubernetes, and CI/CD is essential.

Key Responsibilities

• Team Leadership: Guide and manage a team of DevOps/MLOps engineers.
• FastAPI Deployment: Optimize, containerize, and deploy FastAPI applications at scale.
• Infrastructure as Code (IaC): Use tools like Terraform or Helm to manage infrastructure.
• Kubernetes Management: Handle multi-environment Kubernetes clusters (GKE, EKS, AKS, or on-prem).
• Model Ops: Manage ML model lifecycle: versioning, deployment, monitoring, and rollback.
• CI/CD Pipelines: Design and maintain robust pipelines for model and application deployment.
• Monitoring & Logging: Set up observability tools (Prometheus, Grafana, ELK, etc.).
• Security & Compliance: Ensure secure infrastructure and data pipelines.

Required Skills

• FastAPI: Deep understanding of building, scaling, and securing APIs.
• Docker & Kubernetes: Expert-level experience in containerization and orchestration.
• CI/CD Tools: GitHub Actions, GitLab CI, Jenkins, ArgoCD, or similar.
• Cloud Platforms: AWS/GCP/Azure.
• Python: Strong scripting and automation skills.
• ML Workflow Tools (preferred): MLflow, DVC, Kubeflow, or Seldon.

Preferred Qualifications

• Experience in managing hybrid cloud/on-premise deployments.
• Strong communication and mentoring skills.
• Understanding of data pipelines, feature stores, and model drift monitoring.

Job Types: Full-time, Permanent

Pay: ₹426,830.06 - ₹1,653,904.80 per year

Work Location: In person

Speak with the employer
+91 9867786230