Senior Full-Stack Engineer

Job Description

Senior Full-Stack Engineer\n

Reports to: Head of Engineering

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Level: Mid–Senior (IC)

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Location: Remote

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Compensation: $100,000-$110,000

The role\n

You will own vertical slices of the platform end to end — GraphQL schema, Django services, migrations, Apollo-consuming React UI, and tests on both sides — inside a spec-driven, agent-assisted workflow. The backend is the harder half: calculation correctness, concurrency, multi-tenant isolation, and time handling are where the real work is.

What you will do\n

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• 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.

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• 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.

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• Design GraphQL schema the frontend can consume without over-fetching; keep tenant scoping as a first-class argument and index.

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• 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.

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• Add and extend Celery tasks and Beat schedules (dispatch, delivery, reconciliation) that stay testable without a running worker.

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• Bring remaining admin screens onto live GraphQL contracts.

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• Keep CI honest: regression suite green, no coverage erosion.

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• Deploy to dev via GitHub Actions; work with our DevOps engineer on a limited basis on Terraform and the gated prod deploy.

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• Triage Sentry across the three apps and the Celery services.
  

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Projects you would land in\n

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1. Period close and payroll delivery — finalization, blocking-vs-warning exception gates, deliveries, post-close adjustments.

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2. Calc queue completion — per-tenant concurrency caps, scope expansion, config pinning, state CAS, reaper hardening.

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3. Time-off finalization into payroll — accrual ledger to delivered hours.

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4. Scheduling — generate and publish from templates, conflicts, swap/claim/drop, schedule-vs-actual matching.

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5. Admin: locked to live — compensation models, premiums, rates, GL mapping, export mappings, messaging.

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6. Time capture — kiosk flows, geofence enforcement, device enrollment, punch verification.

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7. Production readiness — supporting our DevOps engineer on prod Terraform, multi-AZ RDS, secrets rotation, environment-gated deploys.
   

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Must have\n

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• 3–5 years shipping production web software, with hands-on experience on both fronts: TypeScript/React and Python/Django.

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• Designed and consumed GraphQL schemas in production (Graphene or equivalent; Apollo client-side), including codegen and cache behavior.

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• PostgreSQL fluency: migrations against live data, composite indexes, constraints, transactions, advisory locks or equivalent concurrency controls.

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• Built or maintained background job systems (Celery or equivalent): retries, idempotency, dead-lettering, periodic scheduling.

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• Multi-tenant data isolation and role-based authorization as first-class design concerns.

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• Correct handling of time: timezones, DST, period boundaries, Decimal hours.

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• 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.

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• Writes tests as part of the change: Jest + Testing Library and pytest + factory-boy.

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• Comfortable in Docker Compose, a pnpm/NX monorepo, and GitHub Actions.

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• Reads unfamiliar code before writing new code; can cite the existing pattern being followed.
  

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Nice to have\n

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• Django Channels / GraphQL subscriptions; WebSocket delivery to React.

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• Terraform on AWS (ECS Fargate, RDS, ElastiCache, CloudFront); Serverless Framework.

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• Time and attendance, scheduling, or payroll domain: overtime rules, meal/rest compliance, pay codes, accruals, prevailing wage, certified payroll.

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• JWT/TOTP authentication, rate limiting behind proxy chains, secrets rotation.

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• Stripe, SendGrid, WeasyPrint, OpenAI API.

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• react-intl / formatjs, Storybook-driven UI work, accessibility.

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• Experience maintaining AGENTS.md-style conventions or agent tooling for a team.
  

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Not a fit\n

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• REST-only backgrounds with no schema-design experience.

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• "Full-stack" meaning frontend plus a thin API.

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• Engineers who consider a fixture-backed screen shipped.

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• Someone who treats agent output as done once it compiles.

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• Someone who expects infrastructure to be entirely someone else's problem; DevOps support is limited.

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