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.

What You’ll Do

Product & UI (Primary)

• 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, drilldowns, exports

APIs & Integrations (Core)

• 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)

Enterprise Readiness (Strategic)

• Support platform hardening: auditability, reliability, security posture, operational readiness
• Contribute to data layer evolution and migration planning (e.g., MongoDB → 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)

Must-Have Skills (Non-Negotiable)

• Strong React experience shipping SaaS product UI (dashboards/workflows), modern hooks patterns
• Strong JavaScript (ES6+) and professional engineering practices (Git, PRs, reviews)
• 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

Strongly Preferred

• TypeScript (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 (PostgreSQL preferred), schema/index basics, query performance awareness
• familiarity with MongoDB/document modeling concepts
• State/data fetching patterns: React Query / TanStack Query (or equivalent)
• Testing discipline: unit/integration testing (Jest/RTL; Playwright/Cypress a bonus)
• CI/CD familiarity and environment separation (dev/stage/prod)

Nice to Have

• Experience with NoSQL → 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

Experience Level

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 depth
• You have never worked with data-heavy dashboards or complex state/data flows

What Success Looks Like (First 90 Days)

• 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 (MongoDB → PostgreSQL) and cloud readiness priorities

Interview Focus Areas

• 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)

Tech Context (High-Level)

• 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: MongoDB today; planning evolution toward PostgreSQL for enterprise readiness
• Cloud/Edge: AWS/A

Originally posted on Himalayas