Backend Infrastructure Engineer - Scalable ML & Data Systems

HeyGen; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

401k plan

Health benefits

Generous PTO

Parental leave program

Emotional health resources

Job summary

HeyGen is seeking a Backend Engineer (Infrastructure) in San Francisco to lead the development of core systems and scalable backend infrastructure that powers our GenAI video platform.

You will collaborate with product engineers and AI researchers, maintain code quality, and ensure reliable data and ML pipelines. This role demands hands‑on expertise in Python or C++, cloud platforms, and modern data architectures.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 2+ years of experience building scalable and performant systems.
• Proficiency in Python or C++.
• Experience with PostgreSQL, MySQL, MongoDB.
• Familiarity with AWS, Azure, or GCP.
• Strong knowledge of API design and development.

Responsibilities

• Design, develop, and deploy scalable foundational backend systems.
• Collaborate with product engineers and AI researchers to deliver performant infrastructure.
• Monitor backend systems for performance, errors, and anomalies; implement fixes as needed.
• Maintain high code quality via reviews, pairing, and tests.
• Stay updated with emerging system technologies and best practices.

Skills

Python

C++

API design

Relational databases

NoSQL databases

Cloud platforms

Education

Bachelor’s degree in CS/Engineering

Master’s degree (preferred)

Tools

Kubernetes

Job description

HeyGen is seeking a Backend Engineer (Infrastructure) in San Francisco to lead the development of core systems and scalable backend infrastructure that powers our GenAI video platform.

You will collaborate with product engineers and AI researchers, maintain code quality, and ensure reliable data and ML pipelines. This role demands hands‑on expertise in Python or C++, cloud platforms, and modern data architectures.