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Python Kubernetes Software Engineer Data Jobs in California

Software Engineer, ML Data Reliability

Cupertino, CA · On-site

$141K - $169K/yr

Full Time Permanent Role On W2 We're looking to hire our first data software engineer client is ... Python, GCP, Kubernetes, Terraform, Flyte, Temporal, React/NextJS, Postgres, BigQuery, DBT. This ...

Software Engineer, Data

San Francisco, CA · On-site

$134K - $162K/yr

Software Engineer, Data Responsibilities Factory is bringing autonomy to software engineering, and ... proficiency in JavaScript or Python. * Hands-on experience with data modeling, warehouse ...

Software Engineer, Data

Los Angeles, CA · On-site

$123K - $148K/yr

Design, develop, and maintain robust batch and real-time data pipelines (using Python, Go, Spark ... Software Engineer with heavy data processing responsibilities. • Strong proficiency in Python ...

The Staff Software Engineer, Data will design and build scalable data infrastructure to support ... Rust, or Python • Familiarity with DevOps and cloud infrastructure tools such as Kubernetes ...

The Staff Software Engineer, Data will design and build scalable data infrastructure to support ... Rust, or Python • Familiarity with DevOps and cloud infrastructure tools such as Kubernetes ...

Strong software engineering skills, preferably in Python. * Experience building and operating data ... Experience with Kubernetes, including deploying, operating, or debugging workloads in production ...

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

Finoit Inc.

Redwood City, CA • On-site

$140K - $168K/yr

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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