Google

Senior Software Engineer, Data and Infrastructure, Professional Intelligence, DeepMind

Google
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1 day ago
Mountain View, CA, USASenior
H1B sponsor

Base Salary

$174k - $252k/yr

Responsibilities

  • Build skills, plugins, and typed tools for LLM agents working with large private corporate data.
  • Build and operate production data pipelines, storage, search, and infrastructure systems.
  • Implement fine-grained per-document access controls across search indexes, databases, and storage, with comprehensive access logging.
  • Engineer for production through code quality, testing, CI/CD, monitoring, on-call, and maintaining live systems.
  • Create systems for agent testing, including 2D and 3D games, physics simulators, graphical result visualizations, competitive leaderboards, and robot algorithm testing.
  • Use AI coding agents and help teammates use them effectively.
  • Drive execution from concept to delivery by proposing solutions, building consensus, and taking ownership.

Requirements

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • Experience with Python and modern toolchains and frameworks such as uv, ruff, FastAPI, and Pydantic.
  • Experience building and operating data pipelines using technologies such as Apache Beam, Dataflow, Flink, or Spark, including batch-versus-streaming trade-offs.
  • Experience with data storage solutions including SQL/Postgres, NoSQL, blob storage, search indexes, and vector databases.
  • Experience using coding agents to develop code and tests to specification.
  • Preferred: experience with Terraform and serverless or container platforms such as Cloud Run or GKE.
  • Preferred: experience implementing access control and security in data systems, including row-level security, IAM, or VPC Service Controls, or working with sensitive or regulated data.
  • Preferred: experience with document processing at scale, including OCR, PDF or Office rendering, e-discovery, or load-file formats.
  • Preferred: experience in startup-like environments, learning new technologies, and teaching teammates.
  • Preferred: exposure to production systems relying heavily on ML models, including batch inference with large language models.

Benefits

  • US base pay is $174000 - $252000, plus a 15% bonus target, equity, and benefits.
  • Benefits information is provided through Google.
  • The role includes production on-call responsibilities.

Tech Stack

Apache BeamApache FlinkApache SparkFastAPIPostgreSQLPythonSQLTerraform

Categories

AI ApplicationsData Engineering
Google

About Google

10,000+ employees

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.

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