2 days ago
Warsaw, Poland or London, United KingdomSenior
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 customer-data proofs of concept, including de-identification of sensitive PCI and PHI data.
- Build lakehouse architectures, metadata and semantic context, and access controls that support trusted data for agentic solutions.
- Train, evaluate, deploy, and monitor machine learning and agentic components against customer business metrics.
- Refactor and migrate analytics, Spark, and operational database workloads to Google Cloud engines with measured price-performance results.
- Embed with strategic accounts to deliver complex systems and provide field feedback for Google Cloud product development.
Requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- Five years of experience in software engineering, data engineering, solution architecture, machine learning, or technical consulting, including Python and SQL programming.
- Experience with data cloud products, technologies, or languages such as Apache Spark, PySpark, BigQuery, Spanner, Knowledge Catalog, or AlloyDB.
- Experience taking production-grade data cloud solutions from conception to launch, architecting cloud data systems, and building structured and unstructured pipelines.
- Experience training, evaluating, and deploying machine learning models in production.
- Preferred experience implementing multi-agent systems with LangGraph, CrewAI, or ADK and patterns such as ReAct, self-reflection, or hierarchical delegation.
- Preferred experience with prompt development, model evaluation, AI applications, Google Cloud data products, Databricks, Snowflake, Palantir Foundry, Apache Iceberg, or Delta Lake.
- Preferred experience building LLM applications over enterprise data using Gemini, agents, RAG, or vector search; migrating workloads; and optimizing LLM-native metrics, state management, and tracing.
Benefits
- Google benefits are provided, with additional equity and benefits listed for the role.
- The role is based in Poland and includes a 15% bonus target.
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.