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RetoolRetoolSan Francisco, CA

Software Engineer, Resources

Builds backend primitives and integrations for data connectivity in Retool apps, including managed databases and LLM frameworks. Requires 5+ years full-stack experience, cloud infrastructure, and customer-focused problem-solving.

164k – 306k/yr
Hybrid5+ YOEFullstack Engineering

About the role

Responsibilities

  • Design, build and manage backend primitives so that users can focus solely on their business logic (e.g. RetoolDB, our managed database solution; and RetoolAI, our built-in framework for wiring LLM interactions into apps and workflows)
  • Blend product thinking with API and backend design (e.g. how can we make Kafka event streams intuitive to the user and easy for us to maintain, how can we help a user use Slack without needing to dive into its documentation?)
  • Debug customer problems + build features for them (e.g. "the Google Sheets integration doesn't support adding rows", and "what's the best way to support that? Via cell ranges, or via a lightweight, home-grown ORM?")
  • Apply a platform mindset to what you build (e.g. How can I implement PKCE such that it can easily be reused across all of our Oauth integrations?)
  • Support 20M requests/day via 70+ ways to connect data

Requirements

  • 5+ years experience in professional software development, ideally some of which you’ve spent in startups
  • Experience owning technically challenging and demanding cross-functional projects
  • Experience across the entire stack, from backend to frontend (and if you have a preference, we’d love to hear it!)
  • Experience with cloud based infrastructure like Azure, AWS or GCP
  • Ability to make technical decisions quickly, while looping in key stakeholders, too
  • A customer-first mindset and an interest in talking with customers to make sure what we’re building meets their needs
  • Habit of introspection and understanding what’s helped you be successful in the past

Nice to Have

  • Experience in JavaScript / TypeScript
  • Experience building integration platforms or operating a large set of integrations
  • Familiarity with AI/LLM-backed systems (e.g. prompt orchestration, embeddings, vector search), especially as part of a broader platform or product
  • Bonus points if you have experience in mentoring other team members

Compensation

Base pay range: $163,800 – $306,000 per year

Skills

JavaScriptTypeScriptAWSAzureGCPKafkaOAuthLLMsRetooldbRetoolai
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