HubSpot is hiring a
Senior Software Engineer II

Summary

Join our MLOps Group as a Senior Software Engineer and contribute to empowering businesses with cutting-edge AI. You will be part of the ML Retrieval Infra team, designing and developing scalable retrieval infrastructure, collaborating with AI and Product Engineering Teams, innovating in retrieval technologies, and ensuring data security, privacy, and compliance.

Requirements

• You have backend development experience. We work with Java, MySQL, Hbase, AWS, DropWizard, Kafka and Kubernetes primarily, but experience with specific technologies is secondary to understanding programming fundamentals
• Ideally, you have experience managing or working closely with a vector database
• Have experience in building scalable retrieval applications
• You are excited about current developments and the future of the retrieval space
• Have worked with cloud infrastructure
• Take ownership, work collaboratively, and figure things out
• Someone who has shown that they can solve complicated technical problems and analyse tradeoffs with empathy for the developers, yet build creative solutions

Responsibilities

• Design & Develop Scalable Retrieval Infrastructure
• Build and maintain the infrastructure powering retrieval-based AI features like Retrieval Augmented Generation and recommendation engines
• Ensure the vector search engine is scalable, reliable, and easy to maintain by enhancing deployment, monitoring, and fault tolerance
• Develop monitoring solutions to maintain the health and performance of the retrieval infrastructure
• Collaborate with AI and Product Engineering Teams
• Partner with machine learning and product engineering teams to integrate retrieval infrastructure into HubSpot’s product ecosystem
• Provide tooling and support to accelerate AI adoption and scaling across products
• Innovate in Retrieval Technologies
• Stay current with advancements in retrieval, databases, and AI infrastructure, applying cutting-edge solutions to enhance HubSpot’s AI capabilities
• Experiment with new retrieval strategies, AI model integration, and distributed systems to improve AI applications
• Ensure Data Security, Privacy, and Compliance
• Implement security and compliance measures, including anonymization and encryption, to manage sensitive data in retrieval systems
• Work with compliance teams to align retrieval infrastructure with HubSpot’s data governance policies