3 days ago
Mumbai, IndiaSenior
Responsibilities
- Architect, govern, and scale Terraform module registries and infrastructure-as-code strategies for GCP data and ML platform services.
- Provision, operate, automate, upgrade, and capacity-plan Cloud Composer/Airflow, Dataproc, Dataflow, BigQuery, Cloud Storage, and Vertex AI services.
- Define enterprise CI/CD architecture and build governed deployment, promotion, validation, rollback, and GitOps workflows for data and ML workloads.
- Develop reusable automation, internal tools, and self-service frameworks using Python, Shell scripting, GitHub Actions, Argo CD, Codefresh, or equivalent tools.
- Operate ML platforms covering training workflows, pipeline execution, model deployment, endpoints, batch inference, retraining, model gateways, and LLM platform capabilities.
- Establish standards for model versioning, artifact management, model registries, feature stores, lineage, reproducibility, GenAI, RAG, evaluation, guardrails, and AI observability.
- Define monitoring, logging, alerting, SLI/SLO, runbook, on-call, incident-response, and reliability practices for platform services and ML/data workloads.
- Lead tier-3 incident response, root-cause analysis, corrective actions, and architectural improvements for complex production failures.
- Architect IAM, RBAC, service-account controls, vulnerability scanning, secrets management, compliance guardrails, and secure cloud operations.
- Mentor junior and mid-level engineers, lead cross-team initiatives, establish engineering standards, and optimize cloud costs, capacity, and FinOps practices.
Requirements
- B.Tech or B.E. in Computer Science, Information Technology, or equivalent practical experience.
- 7+ years of experience in DevOps, SRE, cloud platform engineering, MLOps, DataOps, or a closely related discipline.
- Strong hands-on experience with Google Cloud Platform or equivalent public cloud technologies, including relevant GCP data and ML services.
- Practical experience with Terraform for infrastructure provisioning, configuration management, reusable modules, and controlled production changes.
- Hands-on experience with Docker and Kubernetes; GKE experience is preferred.
- Experience building or operating CI/CD pipelines and Git-based deployment workflows using GitHub Actions, Argo CD, Codefresh, Jenkins, or equivalent tools.
- Proficiency in Python and Shell scripting for platform automation, operational tooling, pipeline hooks, and internal utilities.
- Experience supporting Apache Airflow/Composer, Dataproc, Dataflow, Spark, BigQuery, or comparable data-processing and workflow-orchestration technologies.
- Experience supporting ML pipelines, model deployments, inference endpoints, model-serving infrastructure, or ML platform operations.
- Experience with monitoring, logging, alerting, incident response, on-call support, troubleshooting, and root-cause analysis for production systems.
- Working knowledge of IAM, RBAC, service accounts, secrets, vulnerability management, networking fundamentals, and secure cloud operations.
- Experience operating LLM gateways or GenAI platforms such as LiteLLM or Tyk is a plus.
- Experience with ML/LLM observability and evaluation platforms such as Arize or LangSmith is a plus.
- Experience with GKE platform operations, GPU workloads, vector databases, RAG infrastructure, model-serving systems, lineage, reproducibility, cloud cost optimization, capacity management, FinOps, SRE, security, networking, or compliance practices is preferred.
- Strong ownership, structured problem-solving, documentation, communication, collaboration, and mentoring abilities.
Benefits
- Hybrid work model based in Mumbai with two days onsite and the remaining days remote or in the office.
- Health and wellness coverage including medical, dental, vision, and mental health resources.
- Generous paid time off, holidays, a company-wide Priceline Pause reset week, and paid volunteer days.
- Work/life support including up to four weeks per year working from anywhere, parental leave, dependent care, family support, Summer Fridays, stocked kitchens, and catered meals where available.
- Financial security programs including retirement plans with company contributions, life and disability coverage, and tax-advantaged accounts.
- Employee travel discounts on hotels and flights, VIP deals, and Big Deal Bucks credits.
- Additional travel and partner discounts, tuition support, legal support, and pet benefits.
- Employee Resource Groups, social events, recognition programs, service awards, and an inclusive people-first culture.
Tech Stack
Apache AirflowApache SparkArgo CDCodefreshDockerGitHub ActionsGoogle BigQueryGoogle CloudGoogle Cloud PlatformJenkinsKubernetesPythonTerraform
Categories
About Priceline
Priceline operates an online travel booking platform where consumers reserve hotels, flights, rental cars, and vacation packages. Its business model combines merchant and agency arrangements, earning commissions and fees on travel reservations. Founded in 1998 and headquartered in Norwalk, Connecticut, Priceline is a brand within Booking Holdings Inc. (NASDAQ: BKNG).