Platform Engineer
Priceline (company site, opens in a new tab)4–6 yrsMumbaiOn-siteDirect career pageEst. 20–35 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, maintain, and automate cloud data and ML platform infrastructure on GCP (Terraform, Cloud Composer, Dataproc, BigQuery, Vertex AI) ensuring platform reliability, security, and cost visibility.
- Design and operate governed CI/CD and GitOps pipelines for ML and data workloads improving deployment speed, self-service capabilities, and governance adherence.
- Manage production ML workflows and platform operations including monitoring, incident response, security controls, and collaboration with data and ML teams to optimize platform performance and operational efficiency.
Minimum Requirements
- 4–6 years of experience in DevOps, SRE, cloud platform engineering, MLOps, DataOps, or closely related fields.
- Strong hands-on experience with Google Cloud Platform services and Terraform for infrastructure provisioning and automation.
- Proficiency in CI/CD and GitOps tooling such as GitHub Actions, Argo CD, Codefresh, or Jenkins.
- Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.
Ideal Candidate Profile
- Experienced cloud platform engineer comfortable with cross-functional collaboration between infrastructure, data engineering, ML teams, and security.
- Skilled in building scalable, secure, and automated platform infrastructures focused on data, ML, and GenAI workloads with operational excellence.
- Proficient in operating production-grade monitoring, incident management, and governance practices to maintain high platform reliability and cost control.