1 day ago
Singapore, SingaporeStaff+
Responsibilities
- Build and ship production data and machine learning workloads with customers using PySpark, SQL, and Python on BigQuery, Managed Spark, Spanner, and AlloyDB.
- Create working proofs with customer data, including de-identifying PCI and PHI.
- Build lakehouse architectures, metadata and semantic context, and access controls for agentic solutions.
- Train, evaluate, and deploy machine learning and agentic components with evaluation and monitoring.
- Migrate analytics, Spark, and operational database workloads to Google Cloud engines and measure price-performance results.
- Work directly in customer environments and provide field insights to inform Google Cloud’s product roadmap.
Requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- At least 2 years of experience in software engineering, data engineering, solution architecture, machine learning, or technical consulting.
- Experience writing code in Python and SQL.
- Experience with data cloud ecosystem products, technologies, or languages such as Apache Spark, PySpark, BigQuery, Spanner, Knowledge Catalog, and 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 using patterns such as ReAct, self-reflection, and hierarchical delegation.
- Preferred knowledge of LLM-native metrics, state management optimization, granular tracing, prompt development, model evaluation, Gemini, RAG, vector search, and enterprise LLM applications.
- Preferred experience migrating analytics, Spark, or database workloads between platforms with measured cost or performance outcomes.
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.