Backend Engineer - Infrastructure
Position Summary & Responsibilities
About HeyGen
At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences.
Learn more at www.heygen.com. Visit our Mission and Culture doc here.
Position Summary
As a Backend Engineer (Infrastructure) at HeyGen, you'll spearhead the development of core systems and infrastructure crucial to powering our products. Your expertise will be instrumental in crafting scalable, reliable, and efficient backend systems tailored to accommodate our expanding user base.
Key Responsibilities
- System Development: Design, develop, and deploy scalable and efficient foundational systems. Examples include:
- Data Infrastructure: Forge the next generation of data systems to fuel our analytics
- Cloud Infrastructure: Multi-vendor GPU capacity management and scheduling
- ML Infrastructure: Construct the ML training infrastructure to enhance our AI researchersβ productivity, and inference systems to optimize the scalability and performance of our video GenAI.
- Product Infrastructure: Create the foundation for HeyGen product
- Collaboration: Work closely with product engineers, AI researchers to deliver best performant systems.
- Performance Monitoring: Monitor backend systems for performance, errors, and anomalies. Implement fixes and improvements as needed.
- Code Quality: Maintain high code quality through regular code reviews, pair programming, and writing unit and integration tests.
- Continuous Learning: Stay updated with the latest system technologies and best practices to ensure HeyGen remains at the forefront of technology.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 2+ years of experience working on scalable and performant systems.
- Proficiency in python o
Key Role Competencies & Evaluation Highlights
Evaluating extreme execution speed, deep AI/video generative intuition, and an owner-operator mentality with zero ego.
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