Full Stack; Engineer Developer

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  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.

• 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 — FastAPI, async patterns (existing backend you'll work with)
• JavaScript / Type Script | 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 — Git Hub Actions or Azure Dev Ops. Automated testing, staged deployments
• Git | Advanced — Branching strategies, rebasing, monorepo or multi-repo workflows

• 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 SaaS 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

• 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

• 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

• 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

• 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)

Don’t quite meet all the criteria? Apply, and we can see how your experience aligns to this role and other opportunities within the team.

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