Software Engineer (Backend (Infrastructure))

• We’re seeking a talented engineer to lead the development, deployment, and management of web services and infrastructure that empower AI-driven products and initiatives
• As part of our dynamic engineering team, you’ll collaborate closely with AI researchers, product managers, and technologists to deliver innovative solutions that transform the experiences of end-user professionals and enterprise clients across diverse industries
• Leverage your extensive experience in Python to build and enhance backend systems that seamlessly integrate with machine learning and AI-driven features
• Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with MySQL
• Architect scalable solutions utilizing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support sophisticated AI models and workflows
• 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
• Communicate effectively with stakeholders across multiple teams, clearly articulating technical strategies related to AI-enabled infrastructure

Benefits

• Compensation: With highly competitive salaries and equity option packages, everyone’s an owner here.
• Hybrid Working: You can mix and match working from our Mountain View or San Francisco office, plus a couple days from home.
• Social Gatherings: Quarterly gatherings in the Bay Area for some team real fun and authentic connection.
• Health and Wellness: Comprehensive medical, dental, vision, life insurance, disability, and wellness benefits that start the first day you do.
• PTO: Start with a minimum of 15 days of paid time off, plus up to 18 weeks for maternity leave and 8 weeks for paternity leave.
• 401(k): Plans to help meet your retirement goals because we care about your future.

• Are you an experienced Software Engineer, Backend (Infrastructure) looking to make a significant impact at the intersection of scalable web services and cutting-edge AI technologies?
• Has hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms
• Has 2+ 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
• Holds a Bachelor’s, Master’s, or Ph.D. in Computer Science or a related field
• Is driven by ownership and passionate about delivering impactful solutions from conception to deployment, especially in collaborative environments with AI-focused teams
• Demonstrates a solid understanding of database internals, transactions, indexing, and experience in schema design optimized for AI data workloads
• Demonstrates strong expertise in databases, distributed systems, backend performance optimization, and familiarity with backend requirements for machine learning infrastructure
• Has excellent communication skills, a genuine curiosity for technology, and meticulous attention to detail
• Brings substantial production server experience or equivalent backend expertise to the table
• Experience with operating systems, particularly Linux, and an understanding of their interactions with AI applications and services
• Familiarity with HTTP, networking principles, and API design patterns beneficial to AI integrations