Senior Software Engineer, Backend (Infrastructure)

Your Impact

• 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 your 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 our 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 your 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.
• Is driven by ownership and passionate about delivering impactful solutions from conception to deployment, especially in collaborative environments with AI-focused teams.
• Brings substantial production server experience or equivalent backend expertise to the table.
• 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.

Compensation

Salary Range: $185,000 to $230,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.