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Summer Python Developer Google Jobs in California

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Summer Python Developer Google information

What is the difference between Summer Python Developer Google vs Summer Data Analyst Google?

AspectSummer Python Developer GoogleSummer Data Analyst Google
Required SkillsPython, programming, data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis teams, reporting tasks
Industry UsageTech, software, AI projectsBusiness, marketing, product insights

Summer Python Developer Google focuses on coding and developing software solutions using Python, often working on AI or backend projects. In contrast, Summer Data Analyst Google emphasizes analyzing data, creating reports, and deriving insights. Both roles are popular summer internships at Google, but they serve different functions within the tech ecosystem.

What are the most commonly searched types of Python Developer Google jobs in California? The most popular types of Python Developer Google jobs in California are:
What are popular job titles related to Summer Python Developer Google jobs in California? For Summer Python Developer Google jobs in California, the most frequently searched job titles are:
What job categories do people searching Summer Python Developer Google jobs in California look for? The top searched job categories for Summer Python Developer Google jobs in California are:
What cities in California are hiring for Summer Python Developer Google jobs? Cities in California with the most Summer Python Developer Google job openings:

Senior Software Engineer - Data Infrastructure (Python | AWS/Google Cloud Platform | Kubernetes)

Finoit Inc.

Redwood City, CA • On-site

$140K - $168K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Senior Software Engineer – Data Infrastructure (Python | AWS/Google Cloud Platform | Kubernetes)

Location: Redwood City, CA (On-site)

We are seeking an experienced Software Engineer – Data Infrastructure to build scalable data platforms that support AI/ML applications. This role focuses on designing distributed data pipelines, processing large-scale multimodal data, and developing tools that improve data quality, visualization, and model evaluation.

Responsibilities:

  • Build and maintain scalable data pipelines using Python, Kubernetes, and AWS/Google Cloud Platform.
  • Design systems for processing, validating, and managing large datasets.
  • Develop internal tools for data visualization, observability, and workflow automation.
  • Work closely with AI/ML and engineering teams to improve data quality and model performance.
  • Optimize backend systems, databases, and distributed infrastructure.

Required Skills:

  • 5+ years of software engineering experience.
  • Strong Python programming skills (NumPy, Pandas).
  • Experience with AWS or Google Cloud Platform and Kubernetes.
  • Hands-on experience with PostgreSQL, Redis, or other databases.
  • Strong algorithms and problem-solving skills.

Preferred Skills:

  • React/TypeScript.
  • Airflow, Kubeflow, or similar workflow tools.
  • MLFlow or Weights & Biases.
  • Experience with robotics, computer vision, LiDAR, or multimodal data.

Employment Type: Full-Time