Job Title: Senior Software Engineer Data Infrastructure (Python AWS/GCP 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/GCP.
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 GCP 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
Job Title: Senior Software Engineer Data Infrastructure (Python AWS/GCP 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 distr...
Job Title: Senior Software Engineer Data Infrastructure (Python AWS/GCP 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/GCP.
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 GCP 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.