Senior Backend Engineer: ML Systems & Production

kadence; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A data-driven technology company located in San Francisco is seeking an experienced backend engineer to own and evolve systems that support machine learning capabilities. The ideal candidate has over 5 years of backend engineering experience and proficiency in Python, alongside experience with modern cloud infrastructure, containers, and data storage systems. This in-person role requires collaboration with users to enhance system functionalities and ensure reliability. Relocation support is available for those moving to the Bay Area.

Qualifications

• 5+ years of backend engineering experience with meaningful ownership.
• Experience on data-intensive or ML-powered systems in production.
• Familiarity with integrating model inference into applications.

Responsibilities

• Own and evolve backend systems for machine learning capabilities.
• Develop infrastructure and tooling for rapid iteration.
• Design systems that connect ML inference and application services.
• Build and optimize data layers, including databases and APIs.
• Contribute to CI/CD workflows for fast, safe releases.

Skills

Backend engineering

System design

Python proficiency

Cloud infrastructure (AWS/GCP)

Experience with Docker/Kubernetes

Tools

Postgres

Object storage

Caching layers

Job description

A data-driven technology company located in San Francisco is seeking an experienced backend engineer to own and evolve systems that support machine learning capabilities. The ideal candidate has over 5 years of backend engineering experience and proficiency in Python, alongside experience with modern cloud infrastructure, containers, and data storage systems. This in-person role requires collaboration with users to enhance system functionalities and ensure reliability. Relocation support is available for those moving to the Bay Area.