Platform Engineer - Full-Stack

Our client is building a governance, privacy, and AI compliance platform for regulated organizations. They already have a working MVP and are now scaling into production pilot deployments and an enterprise-ready phase
.

They’re looking for a full-stack engineer who can own product UI delivery (dashboards, workflows) while also being strong enough on APIs, data, and cloud fundamentals to contribute to platform hardening, integrations, and upcoming migrations.

• Build and maintain the web app:
  React dashboards
  , workflow screens, configuration/admin interfaces
• Deliver high-quality UX:
  responsive layouts
  , consistent UI patterns, accessibility basics, and performance tuning
• Implement interactive data experiences:
  charts, tables, filters, drill downs, exports

• Integrate with REST APIs and external services: auth flows, request/response mapping, error handling, retries, timeouts
• Contribute to API design patterns: consistency, pagination, versioning, idempotency, rate-limit awareness
• Build/maintain integration-heavy workflows: webhooks, event-driven patterns, background processing (where applicable)

• Support platform hardening: auditability, reliability, security posture, operational readiness
• Contribute to data layer evolution and migration planning (e.g.,
  Mongo
  
  DB → PostgreSQL
  ): schema thinking, migration strategy, integrity and performance considerations
• Support cloud migration readiness (
  AWS/Azure
  ): environment management, secrets, deployments, observability basics
• Assist with edge/security tooling where relevant (e.g.,
  Cloudflare or equivalent)

• Strong React experience shipping SaaS product UI (dashboards/workflows), modern hooks patterns
• Confident integrating REST APIs in production:
• auth patterns (JWT/OAuth-style), robust loading/error states
• retries/timeouts, defensive programming, edge case handling
• Solid UI engineering capability:
• componentization, responsive CSS, UI consistency and polish
• Good backend fundamentals:
• can read/write server code, reason about data models, and collaborate on API contracts

• Type Script (or strong willingness to work in a TS migration)
• Experience with a modern backend runtime (Node.js/Express preferred; similar acceptable)
• Data-heavy applications: charts, analytics, reporting, admin tooling
• Database competence:
• SQL fundamentals (Postgre
  
  SQL preferred), schema/index basics, query performance awareness
• familiarity with Mongo
  
  DB/document modeling concepts
• State/data fetching patterns:
  React Query / Tan Stack Query (or equivalent)
• Testing discipline: unit/integration testing (Jest/RTL; Playwright/Cypress a bonus)
• CI/CD familiarity and environment separation (dev/stage/prod)

• Experience with No
  
  SQL → SQL migrations (Mongo → Postgres or similar)
• Cloud exposure: AWS or Azure (deployments, secrets, basic networking concepts)
• Observability awareness: logging/metrics/tracing and debugging production issues
• Cloudflare (or similar): CDN/WAF, basic edge/security controls
• Multi-tenant SaaS patterns (tenant isolation, tenancy-aware auth, data partitioning)
• Docker fundamentals

They want someone who can operate with ownership and ambiguity
.

Ideal profile:

• 5–8+ years engineering experience (or equivalent capability)
• Has shipped production SaaS UI and handled integration-heavy work
• Comfortable making pragmatic architecture decisions and improving an existing codebase

Not a fit if:

• You are primarily a marketing-site / frontend-only developer with limited API/integration depthli>
• You have never worked with data-heavy dashboards or complex state/data flows

• Take ownership of core UI surfaces and ship meaningful dashboard/workflow improvements
• Improve API integration quality (error handling, data transformations, reliability patterns)
• Contribute to an enterprise readiness plan: API consistency, security basics, operational hardening
• Help shape the migration path for the data layer (Mongo
  
  DB → Postgre
  
  SQL) and cloud readiness priorities

• React UI build quality (component structure, state management, performance, UX detail)
• API integration robustness (auth, failures, retries, transformation)
• Data thinking (schemas/models, dashboard logic, exports, integrity)
• Practical architecture judgment (tradeoffs, maintainability, delivery speed)
• Collaboration (PR hygiene, communication, documentation)

• Frontend: React (dashboard/workflow UI), styled-components, charts (Recharts/Chart.js), Framer Motion
• Integration: REST APIs, external services, webhook/event patterns as needed
• Backend: Node/Express-style services (or equivalent), API-first
• Data: Mongo
  
  DB today; planning evolution toward Postgre
  
  SQL for enterprise readiness
• Cloud/Edge: AWS/A