Full stack (engineer) developer

You will refactor and harden the existing MVP application for multi-tenant Saa S deployment: migration from SQLite to Postgre SQL/SQL, containerised Azure deployment, proper auth/RBAC, CI/CD pipelines, frontend migration from Vanilla JS to Angular, API gateway design, observability, and performance at scale. You are scaling an MVP to work deployable, secure, and fast for tens-of-thousands of concurrent users. Rapid pace is a key requisite, using latest AI coding acceleration technology to augment traditional methods.

Required Skills Must be highly proficient in English language – spoken and written comms. Angular | Advanced — component architecture, state management, lazy loading, performance tuning . NET / C# | Advanced — 5+ years. Enterprise services, Azure Functions, API design Python | Proficient — Fast API, async patterns (existing backend you'll work with) Java Script / Type Script | Advanced — ES6+, async patterns, build tooling Node.js / Express | Advanced — BFF layer, middleware, API gateway patterns SQL | Advanced — Postgre SQL required. Schema migration, query optimisation, multi-tenant data isolation Docker / Containers | Advanced — Compose, multi-stage builds, container orchestration Azure Cloud | Proficient — App Service, Functions, Blob Storage, Key Vault, AAD (AWS/GCP transferable) CI/CD | Advanced — Git Hub Actions or Azure Dev Ops. Automated testing, staged deployments Git | Advanced — Branching strategies, rebasing, monorepo or multi-repo workflows Required Experience Minimum 6 years professional software development experience Demonstrated body of work — public portfolio, Git Hub profile, or equivalent Experience scaling a web application from MVP/prototype to production Saa S for thousands of concurrent global users (this is the core of the role) Experience with multi-tenant architecture — data isolation, tenant-aware middleware, per-tenant config Experience with database migration — schema versioning, zero-downtime migrations, data integrity at scale Experience with authentication and authorisation at enterprise level — OAuth2/OIDC, RBAC, SSO integration Experience with API design — versioning, rate limiting, pagination, caching strategy Required: Infrastructure & Operations Observability — Structured logging, distributed tracing, APM (Application Insights, Datadog, or equivalent) Security — OWASP awareness, secret management, CSP headers, input validation, vulnerability scanning Performance — Profiling, load testing, caching strategies (Redis), CDN configuration Reliability — Health checks, graceful degradation, retry patterns, circuit breakers Critical Differentiator: AI-Augmented Development Must currently use AI coding assistants in daily work (Github Copilot, Claude Code, Codex, or equivalent) Must demonstrate significant speed multiplier (5x+ on typical tasks) Must be comfortable with agentic workflows — running multiple AI agents concurrently, delegating subtasks, reviewing and integrating AI-generated code You will be live‑tested: given a mid-level coding task that traditionally takes 3 weeks, you'll have 60 minutes to complete it using whatever tools you choose Preferred (Not Required) Kubernetes / AKS orchestration experience GIS / geospatial data experience (Post GIS, tile servers, Cesium) Experience migrating legacy/prototype codebases to production architecture Experience in engineering consultancy or infrastructure sector Machine learning model serving / inference pipeline experience What We Offer Take a genuinely novel product from MVP to global scale — not maintaining legacy code Elite small team — high autonomy, high impact AI‑first development culture — use the best tools available, measured on output not hours Global exposure — WSP operates in 40+ countries Competitive compensation (market‑dependent, discussed at interview)

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