Job Overview You will refactor and harden the existing MVP application for multi‑tenant SaaS deployment: migration from SQLite to PostgreSQL/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 be 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 Angular – Advanced component architecture, state management, lazy loading, performance tuning NET / C# – Advanced, 5+ years, enterprise services, Azure Functions, API design Python – Proficient, FastAPI, async patterns JavaScript / TypeScript – Advanced, ES6+, async patterns, build tooling Node.js / Express – Advanced, BFF layer, middleware, API gateway patterns SQL – Advanced, PostgreSQL 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, GitHub Actions or Azure DevOps, automated testing, staged deployments Git – Advanced, branching strategies, rebasing, monorepo or multi‑repo workflows English language – Highly proficient spoken and written communication Required Experience Minimum 6 years professional software development experience Demonstrated body of work – public portfolio, GitHub profile, or equivalent Experience scaling a web application from MVP/prototype to production SaaS for thousands of concurrent global users (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 authorization 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 (PostGIS, 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) #J-18808-Ljbffr