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 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 — FastAPI, async patterns (existing backend you'll work with)
- 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
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 (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 (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)
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
Similar jobs
Show more
