Senior Software Engineer, Backend (Infrastructure)

Responsibilities

• Take ownership of architecting scalable solutions utilizing technologies like MySQL, Vitess, Kafka, Cassandra, Redis, and big data platforms to support sophisticated AI applications and workflows.
• Leverage extensive experience in Python to build and enhance backend systems that seamlessly integrate with machine learning and AI models — and mentor junior engineers along the way.
• Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with databases.
• Write reusable, efficient, and maintainable code that underpins high-performance web services and supports real-time AI analytics.
• Collaborate closely with AI teams to streamline data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features.
• Drive technical decisions within the team and communicate effectively with stakeholders across multiple teams, clearly articulating technical strategies related to AI-enabled infrastructure.

Requirements

• Holds a Bachelor's, Master's, or Ph.D. in Computer Science or a related field.
• Demonstrates strong expertise in databases, distributed systems, backend performance optimization, and familiarity with backend requirements for machine learning infrastructure.
• Demonstrates a solid understanding of database internals, transactions, indexing, and experience in schema design optimized for AI data workloads.
• Has 5+ years of experience in developing and architecting large-scale web services, preferably with exposure to supporting AI systems.
• Possesses expert proficiency in Python or other programming languages such as Go, Java, or C++.
• Has extensive experience with web frameworks like Django and is comfortable integrating systems with technologies such as MySQL, Redis, Elasticsearch, Kafka, and Cassandra, particularly in support of AI workflows.
• Has hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms.
• Brings substantial production server experience or equivalent backend expertise.
• Has excellent communication skills, a 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.