Engineers do their best work when they can focus on what matters most. Leaders want to help teams set clear priorities. It's hard to know where people are working in large systems when issue tracking systems are messy. Jellyfish's engineering team is solving this problem for every issue tracking system and any style of working. We're looking for a Senior Backend Engineer, AI Systems who wants to build tools that classify work into meaningful categories so leaders can see patterns and help their teams focus on what matters.
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. 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.
Let's talk about what you'll do:
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
Let's talk about what you need to excel:
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. We love to have fun and win in the process. We only hire people who have a passion for building great companies in an environment where a sense of humor is a must.
Occasional travel may be required.
Applicants must be authorized to work for any employer in the US. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Let’s talk about us!
This is all about you, but you want to know a little about us. Jellyfish enables leaders to effectively build AI-integrated engineering teams, align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.
