• It's hard to know where people are working in large systems when issue tracking systems are messy
• This role demands someone who can handle complex data at scale
• You'll work across multiple issue tracking systems, each with different data models and quirks, processing millions of issues for hundreds of customers
• You need to design systems that can classify and aggregate work efficiently, build data pipelines that handle the volume, and apply LLMs in ways that work at scale
• Design, plan, and implement key features as part of a highly effective development team
• Rapidly deliver value for our customers by pushing features to our AWS-hosted SaaS environment daily, with automated CI/CD pipelines
• Provide technical and product expertise within your team and across the organization
• Think big about what’s possible to represent the scope of engineering work and how it’s changing
• Communicate effectively about project status and technical issues
• Participate in your team’s agile process and work to continually improve your team’s capabilities
• Provide support for production operations of the Jellyfish product

Actively participate in a culture supportive of growth and inclusion on your team

• Strong backend engineering skills, experience with complex data modeling, and curiosity about building production LLM systems and AI infrastructure are essential
• The best candidates are senior backend engineers who enjoy working with unstructured data, want to learn about using AI infrastructure responsibly, and care about building features that help engineering leaders make better decisions for their teams
• 10+ years of experience building SaaS products
• Strong skills in Python, and passion for building production software systems
• Enough experience with frontend frameworks, such as React, to be able to pitch in from time to time to move a project forward or troubleshoot issues
• Strong skills in data modeling in relational database systems and experience with and interest in other database technologies such as columnar systems
• Experience working with Large Language Models and Amazon’s Bedrock and Sagemaker environments
• Fluency with tools such as Copilot, Cursor, Claude Code, Kiro and a track record of using them to build and ship fast
• Have worked in or interested in a growth-stage startup
• Curiosity - great at asking questions, figuring out what needs to be done, building consensus, and executing
• Love learning new things and teaching others what you know
• Strong communication skills and desire for collaborative work
• A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us
• Occasional travel may be required

Applicants must be authorized to work for any employer in the US