About this role

Define, monitor, and enforce error budgets to ensure 99.99% product availability.
Create and execute production system scaling strategies and lead cloud infrastructure operational maintenance (e.g., Google Kubernetes Engine (GKE) cluster consolidation).
Own the GCP cloud computing budget. Analyze pricing structures and identify process flows to improve productivity and reduce operational costs (e.g., achieving 25% cost reductions).
Work with Data Engineers to prioritize performance tuning
such as partitioning and clustering BigQuery tables or optimizing ETL/ELT pipelines—so business users get their data faster.
Ensure the data architecture is structured to support advanced analytics and Machine Learning models, and prepare clean, accessible datasets for Data Scientists.
Partner with Legal and Security teams to ensure the AWS/GCP environment complies with privacy regulations (GDPR, CCPA) using Cloud IAM (Identity and Access Management) and strict data access policies.

Deep understanding of cloud computing (GCP), infrastructure as code (Terraform), container orchestration (Kubernetes/GKE), and Site Reliability Engineering principles.
Extensive experience with Data Warehousing, Data Lakes, Business Intelligence (BI), and AI/Machine Learning product deployment.
Proven ability to manage large cloud budgets, analyze cost/pricing structures, and optimize infrastructure spend within the Google Cloud ecosystem.
Demonstrated experience directly managing technical personnel (engineers, SREs) and leading cross-functional teams without direct authority.
Exceptional ability to translate complex technical infrastructure and data concepts into clear business value for executive stakeholders.

Product Manager – SRE, Data Engineer

Key skills