Senior Platform Engineer
Priceline (company site, opens in a new tab)7+ yrsMumbaiOn-siteDirect career pageEst. 30–45 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect, operate, and scale cloud infrastructure and automation for MLOps and DataOps platforms on GCP, including services like Cloud Composer, Dataproc, Dataflow, BigQuery, and Vertex AI.
- Build and govern CI/CD pipelines and GitOps workflows enabling safe, automated deployment of data and ML workloads, improving deployment speed and reliability.
- Lead platform operations including monitoring, incident response, security governance, cost optimization, and mentor engineers to enhance platform reliability and efficiency.
Minimum Requirements
- B.Tech or B.E in Computer Science, IT, or equivalent practical experience.
- 7+ years experience in DevOps, SRE, cloud platform engineering, MLOps, DataOps, or closely related roles.
- Strong hands-on experience with Google Cloud Platform and Terraform for IaC, plus Docker and Kubernetes (GKE preferred).
- Experience with CI/CD pipelines using tools like GitHub Actions, Argo CD, Jenkins, and proficiency in Python and Shell scripting.
Ideal Candidate Profile
- Experienced in architecting and operating scalable MLOps/DataOps cloud platforms focused on data and ML pipelines with strong automation and governance.
- Skilled in incident management, production reliability engineering, and security best practices applying SRE principles at scale.
- Comfortable leading cross-team initiatives, mentoring engineers, and optimizing platform cost and capacity in large data/ML environments.