Staff Software Engineer, Backend (Infrastructure)

Responsibilities

• Define and drive the architecture of scalable solutions utilizing technologies like MySQL, Vitess, Kafka, Cassandra, Redis, and big data platforms.
• Leverage deep expertise in Python to build and enhance backend systems that seamlessly integrate with machine learning and AI models.
• Design and implement robust business logic using web frameworks such as Django.
• Write reusable, efficient, and maintainable code that underpins high-performance web services and supports real-time AI analytics.
• Partner with AI teams to streamline data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features.
• Serve as a key technical voice with stakeholders across the organization, translating complex infrastructure strategies into clear direction.

Requirements

• Bachelor's, Master's, or Ph.D. in Computer Science or a related field.
• Strong expertise in databases, distributed systems, backend performance optimization, and familiarity with backend requirements for machine learning infrastructure.
• Solid understanding of database internals, transactions, indexing, and experience in schema design optimized for AI data workloads.
• 10+ years of experience in developing and architecting large-scale web services, preferably with exposure to supporting AI systems.
• Expert proficiency in Python or other programming languages such as Go, Java, or C++.
• Extensive experience with web frameworks like Django and technologies such as MySQL, Redis, Elasticsearch, Kafka, and Cassandra.
• Hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms.
• Substantial production server experience or equivalent backend expertise.
• Excellent communication skills, genuine curiosity for technology, and meticulous attention to detail.

Nice to Haves

• Familiarity with HTTP, networking principles, and API design patterns beneficial to AI integrations.
• Experience with operating systems, particularly Linux, and an understanding of their interactions with AI applications and services.