Note: The job is a remote job and is open to candidates in USA. de Anda Capital is hiring a Senior Full-Stack Engineer for an unnamed portfolio company in the fintech space. The role owns end-to-end development of a multi-tenant time-and-attendance platform, including GraphQL and Django services, React interfaces, testing, and deployment readiness.
Responsibilities
- Turn refined PRDs into Technical Documents precise enough for a coding agent to implement: schema, service boundaries, data changes, acceptance criteria, and the existing repo pattern to follow
- Direct coding agents to produce the implementation, then review their PRs line by line against the Technical Document, AGENTS.md, and acceptance criteria before merge. Catch the tenant-isolation and timezone bugs an agent will not
- Design GraphQL schema the frontend can consume without over-fetching; keep tenant scoping as a first-class argument and index
- Write and harden service code that holds under concurrency: idempotent enqueue to the calc queue, compare-and-swap on state transitions, Decimal arithmetic for hours and money, timezone-correct pay-period boundaries
- Add and extend Celery tasks and Beat schedules (dispatch, delivery, reconciliation) that stay testable without a running worker
- Bring remaining admin screens onto live GraphQL contracts
- Keep CI honest: regression suite green, no coverage erosion
- Deploy to dev via GitHub Actions; work with our DevOps engineer on a limited basis on Terraform and the gated prod deploy
- Triage Sentry across the three apps and the Celery services
Skills
- 3–5 years shipping production web software, with hands-on experience on both fronts: TypeScript/React and Python/Django
- Designed and consumed GraphQL schemas in production (Graphene or equivalent; Apollo client-side), including codegen and cache behavior
- PostgreSQL fluency: migrations against live data, composite indexes, constraints, transactions, advisory locks or equivalent concurrency controls
- Built or maintained background job systems (Celery or equivalent): retries, idempotency, dead-lettering, periodic scheduling
- Multi-tenant data isolation and role-based authorization as first-class design concerns
- Correct handling of time: timezones, DST, period boundaries, Decimal hours
- Has worked with AI coding agents on real deliverables: writes specs an agent can execute, and reviews agent output critically rather than rubber-stamping it
- Writes tests as part of the change: Jest + Testing Library and pytest + factory-boy
- Comfortable in Docker Compose, a pnpm/NX monorepo, and GitHub Actions
- Reads unfamiliar code before writing new code; can cite the existing pattern being followed
- REST-only backgrounds with no schema-design experience
- “Full-stack” meaning frontend plus a thin API
- Engineers who consider a fixture-backed screen shipped
- Someone who treats agent output as done once it compiles
- Someone who expects infrastructure to be entirely someone else's problem; DevOps support is limited
- Django Channels / GraphQL subscriptions; WebSocket delivery to React
- Terraform on AWS (ECS Fargate, RDS, ElastiCache, CloudFront); Serverless Framework
- Time and attendance, scheduling, or payroll domain: overtime rules, meal/rest compliance, pay codes, accruals, prevailing wage, certified payroll
- JWT/TOTP authentication, rate limiting behind proxy chains, secrets rotation
- Stripe, SendGrid, WeasyPrint, OpenAI API
- React-intl / formatjs, Storybook-driven UI work, accessibility
- Experience maintaining AGENTS.md-style conventions or agent tooling for a team
Company Overview