Job Description

WHY WE'RE LOOKING FOR YOURetool started as a way to address obstacles with internal tools and has grown into a company that solves internal tooling for thousands of companies (big and small). We’ve done a lot with a little – we have a growing engineering team and a laundry list of features and foundational improvements we want to tackle.
To continue our fast-paced growth, we need to build a world-class engineering team. You’ll help us get there by owning end-to-end projects, talking with customers, and ultimately supporting the growth of Retool—the product and the business.
WHAT YOU'LL DOThe Core Services team owns key backend services powering broad areas of the Retool product, including code execution and the infrastructure behind resource connectors that allow customers to connect Retool to their data.
IN THIS ROLE, YOU WILL:

• Drive the architectural design and redesign of core Retool backend services, ensuring robustness, security, and efficiency. This includes areas such as secure sandboxing, connection pooling, and streaming.
• Use secure runtime and sandboxing technologies like WASM and seccomp filters
• Own production services running in Amazon Elastic Kubernetes Service (EKS)

THE SKILLSET YOU'LL BRING

• You have 6+ years of experience in professional software development, ideally some of which you’ve spent in startups
• You’ve built, maintained, debugged, and scaled backend systems and distributed services
• You have a keen understanding of security best practices and experience in designing secure systems
• You can demonstrate an ability to identify and resolve performance bottlenecks in critical services
• You have experience with cloud-based infrastructure like Azure, AWS, or GCP, along with Kubernetes, Helm, and Terraform
• You have excellent communication and collaboration skills and are able to work effectively across multiple teams

BONUS POINTS

• You’re familiar with TypeScript and Node
• You’ve right-sized compute clusters, managed autoscaling groups, etc.
• You understand OS-level containerization and execution environments
• You’ve built fault-tolerant message queues, worker pools, or distributed value stores
• You’ve analyzed and tackled interesting and unusual new workloads