Data Engineer - (DevOps and ML) - Ahmedabad, India
Qatar Airways (company site, opens in a new tab)AhmedabadOn-siteDirect career pageEst. 12–20 LPA
Posted on 20 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain Azure DevOps CI/CD pipelines for data pipelines, ML models, and apps deployed on Google Cloud Platform (GCP).
- Manage GCP infrastructure via Terraform and automate ML lifecycle operations using Vertex AI and related services.
- Implement monitoring, security, governance, and cost optimization practices across cloud and ML platforms ensuring reliable production deployments.
Minimum Requirements
- Strong hands-on expertise with Azure DevOps (YAML pipelines, Repos, Artifacts, environments).
- Proven experience with GCP services including GKE, Cloud Run, Vertex AI, BigQuery, Cloud Storage, Composer, and IAM.
- Experience in cloud infrastructure as code using Terraform and container orchestration with Docker and Kubernetes (GKE).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in operationalizing ML models and managing end-to-end MLOps workflows on GCP with Azure DevOps integration.
- Background in large-scale cloud migration projects moving on-premise data and ML workloads to cloud.
- Proficient in DevSecOps practices, cross-platform automation, and cloud cost-performance optimization aligned with regulated enterprise environments.