Platform Engineer

Eve • San Mateo, CA (Hybrid) • 4w ago

What You'll Do:

Design and Implement Scalable Infrastructure: Build reliable, scalable infrastructure to support AI/ML applications, ensuring seamless operation of our core products.
Develop Efficient Data Pipelines: Create and manage data pipelines capable of handling complex machine learning workflows, facilitating efficient data processing and analysis.
Optimize System Performance: Enhance the performance of machine learning systems, managing resources effectively to support large-scale operations.
Collaborate Across Teams: Work closely with machine learning and development teams to address novel infrastructure challenges, fostering a cohesive and innovative engineering environment.
Enhance Developer Productivity: Develop platforms and tools that improve developer efficiency, contributing to a more productive engineering workflow.

What We're Looking For:

Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Experience in Scalable Infrastructure: Proven experience building reliable, scalable infrastructure for AI/ML applications.
Proficiency in Cloud Technologies: Strong understanding of modern cloud infrastructure, with a focus on reliability and scalability.
Data Pipeline Expertise: Experience designing and managing data pipelines for complex machine learning workflows.
Performance Optimization Skills: Ability to optimize system performance and manage resources effectively at scale.
Comfort collaborating with cross-functional teams to solve unique infrastructure challenges.

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