13 hours ago
Mexico City, MexicoSenior
Responsibilities
- Build, test, ship, and performance-tune production data and machine learning workloads with customers using PySpark, SQL, Python, BigQuery, Managed Spark, Spanner, and AlloyDB.
- Create working proofs with customer data, including de-identifying sensitive PCI and PHI data.
- Build data foundations for agentic solutions, including lakehouse architectures, metadata, semantic context, and access controls.
- Train, evaluate, and deploy machine learning and agentic components with evaluation and monitoring.
- Refactor and migrate analytics, Spark, and operational database workloads to Google Cloud while measuring price-performance outcomes.
- Embed with customer accounts to provide deployment support and translate field insights into product-roadmap feedback.
Requirements
- Bachelor’s degree in engineering, computer science, a related field, or equivalent practical experience.
- At least 5 years of experience in software engineering, data engineering, solution architecture, machine learning, or technical consulting.
- Professional experience writing code in Python and SQL.
- Experience with data cloud ecosystem products, technologies, or languages such as Apache Spark, PySpark, BigQuery, Spanner, or AlloyDB.
- Experience taking production-grade data cloud solutions from conception to launch, architecting data systems on GCP, and building structured and unstructured pipelines.
- Experience training, evaluating, and deploying machine learning models in production.
- Fluent English and Spanish communication skills.
- Preferred experience building LLM applications and multi-agent frameworks, migrating analytics and database workloads, working with open table formats, and applying prompt engineering, model evaluation, LLM-native metrics, state management, and granular tracing.
Tech Stack
Categories
Forward Deployed
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.