Platform engineering
· Build shared services, middleware, templates and reusable NuGet SDKs using C#, modern .NET and ASP.NET Core.
· Implement authentication integration, BFF session management, token lifecycle controls and tenant-aware, resource-level authorization patterns.
· Establish API standards for validation, versioning, structured errors, idempotency, configuration and service-toservice integration.
· Develop reusable patterns for PostgreSQL access, Redis caching/session storage, observability and resilient messaging as appropriate.
· Contribute to AWS-based deployments, including API Gateway, ECS/Fargate, Aurora/RDS PostgreSQL, ElastiCache, SQS and EventBridge where relevant.
· Publish packages through Azure DevOps Artifacts and support domain teams in adoption without unnecessary coupling.
· Develop a modular Angular and TypeScript application shell with shared navigation, routing, lifecycle and errorhandling capabilities.
· Build versioned frontend SDKs, shared components, application templates and documented integration contracts.
· Support independently developed and deployed domain applications, with appropriate isolation, lazy loading, accessibility and performance practices.
· Integrate identity and session flows with enterprise OIDC/OAuth 2.0 providers and backend-for-frontend (BFF) services; support permission-aware UI while keeping authorization enforcement on the server.
· Publish and maintain frontend packages through Azure DevOps Artifacts and support consuming application teams.
AI-assisted development and quality
· Use Claude Code or comparable AI coding assistants for design exploration, implementation, refactoring, testing and documentation.
· Apply structured, specification-driven AI-assisted delivery approaches, including AWS AI-DLC 2.0; turn requirements into reviewable plans and acceptance criteria.
· Review and verify AI-generated code for security, correctness, maintainability and compliance with platform standards.
· Contribute to Azure DevOps CI/CD pipelines, automated tests, peer reviews and engineering quality gates.
Required qualifications
· 5+ years of professional backend / frontend engineering experience, or equivalent demonstrated capability.
· Strong C#, modern .NET, ASP.NET Core and secure REST API development experience.
· Solid knowledge of OAuth 2.0, OIDC, application security, authentication and authorization.
· Experience with SQL/relational databases, transactions, asynchronous programming and failure-resistant service design.
· Experience with AWS or comparable cloud platforms, automated testing, Git and CI/CD.
· Ability to contribute to architecture and implement production-grade components independently.
· Strong Angular, TypeScript, JavaScript, HTML and CSS experience; expertise in SPA architecture, modularity, routing and state management.
· Experience designing reusable libraries, SDKs or component systems used by multiple teams.
· Understanding of OAuth 2.0, OIDC, secure browser sessions, API integration and common frontend threats such as XSS and CSRF.
· Experience with automated unit/component/end-to-end testing, Git and CI/CD.
Preferred qualifications
· AWS ECS/Fargate, API Gateway, Aurora PostgreSQL, ElastiCache, SQS, EventBridge, Secrets Manager and CloudWatch.
· BFF patterns, enterprise federation (Entra ID/PingFederate), Redis, multitenant authorization and OpenTelemetry.
· AWS web delivery experience (such as CloudFront, S3 and API Gateway); Azure DevOps Repos, Pipelines and Artifacts.
· Experience with enterprise application shells, micro-frontends, BFF integration, Entra ID or PingFederate.
· Demonstrable hands-on use of Claude Code, GitHub Copilot or similar AI tools for substantial engineering tasks; familiarity with AWS AI-DLC 2.0.
Expected deliverables
· Working application-shell foundation and documented integration patterns.
· Reusable, versioned frontend SDKs and reference application templates.
· Automated test coverage, CI/CD integration and onboarding documentation for domain teams.
· Production-ready shared backend components and versioned .NET SDKs.
· Reference services, secure authentication/session and authorization integration patterns.
· Automated tests, pipeline integration, operational instrumentation and adoption documentation.
