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Dataviv Media Network
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AWS DevOps Engineer

AWS DevOps Engineer

Dataviv Media Network

0 years

4 - 16 Lacs

Gurgaon

Posted:2 months ago| Platform: GlassDoor logo

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Skills Required

aws devops engineering deployment scaling learning fastapi code terraform helm kubernetes model ml versioning monitoring design security data docker containerization github gitlab jenkins gcp scripting automation workflow mlflow communication mentoring drift

Work Mode

On-site

Job Type

Full Time

Job Description

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

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