About The Position

Toku is building the future of payroll, creating infrastructure that allows companies to pay teams in stablecoins, fiat, or tokens without switching systems or retraining staff. The role involves owning core product areas from scoping to launch and iteration, collaborating with operations and product teams, and balancing speed with sound engineering practices.

Requirements

  • 3+ years building and operating production web apps end-to-end.
  • Strong proficiency in TypeScript and JavaScript.
  • Frontend knowledge: React or Next.js, performance, accessibility and testing fundamentals.
  • Backend knowledge: Node.js with Express (or similar), Next.js API routes, REST, JWT/OAuth, webhooks, background jobs.
  • Database: Postgres (or other SQL based DBs), schema design, transactions, migrations, and basic performance tuning.
  • DevEx and Infra: Knowledge of Git/GitHub, CI/CD, Docker; environment/secrets hygiene.
  • Observability: Experience with popular observability tools (for example, LogRocket, New Relic, Sentry).
  • Good problem solving and communication skills.
  • Ability to pick up unfamiliar tech fast and execute if required in some scenarios.
  • Product mindset: clarify ambiguity quickly and slice scope to deliver outcomes.
  • Code quality: clear abstractions, type safety, tests.
  • Ownership: you like taking work from 0→1→10 and closing the loop with users.
  • Hands-on with AI-assisted development (for example, Copilot, Cursor, Devin). Experience with Cursor is a plus.

Responsibilities

  • Ship user-facing features across the stack with short feedback loops.
  • Turn customer problems into simple and clear product solutions.
  • Write robust, type-safe, well-tested code and stable APIs, keeping documentation and observability healthy.
  • Raise the bar on engineering practices: PR reviews, automated testing, and robust CI/CD.
  • Proactively identify opportunities to improve existing practices and uphold Toku’s high technical quality bar.
  • Anticipate edge cases, flag blockers early in the process, drive incidents to root cause, and prevent regressions.
  • Lead feature work from PRD, design doc (RFC) to rollout: data models, API contracts, and UI flows.
  • Use AI tools to accelerate development, testing, and documentation.
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