Requirements

Core Skills

·       NET & APIs: .NET 6/7/8, ASP.NET Core Web API, middleware, filters, configuration.

·       Data & Persistence: SQL (SQL Server) and NoSQL (e.g., MongoDB/DocumentDB); EF Core (LINQ, migrations, performance), query tuning, repository/unit-of-work.

·       IoC/DI: Autofac (modules, lifetimes, scopes).

·       Validation & Jobs: FluentValidation; Hangfire (recurring jobs, retries, dashboards).

·       Real-Time & Notifications: SignalR (scale-out/backplanes), FCM integration.

·       Architecture & Design: Clean Architecture, CQRS; strong command of design patterns, SOLID, system design (scalability, resilience, fault tolerance).

·       Security: OAuth2/OIDC, JWT, RBAC/claims, secrets management, OWASP ASVS practices.

·       API Quality: OpenAPI/Swagger, versioning, pagination, idempotency, robust error handling.

·       Testing: xUnit/NUnit, integration tests; Postman/REST Client; basic load/perf testing.

·       Observability: Serilog (structured logging), health checks, OpenTelemetry (traces/metrics).

·       Deployments: IIS administration; Azure App Service/VMs; environment configuration.

·       Cloud Basics: Storage, messaging, networking fundamentals and cost/perf trade-offs.

·       Agile, DevOps & Compliance: Agile/Scrum, Azure DevOps (boards, work items, dashboards.

·       Version Control & Automation: GitHub (Repos, Projects/Issues, PRs, CODEOWNERS, protected branches), branching strategy (e.g. GitFlow), required checks & reviews, GitHub Actions for CI/CD (build/test/security scans, Docker image build/publish, deploy to IIS/Azure), environments/secrets, semantic versioning and automated releases.

Advantages Skills

·       Microservices: API gateway, service discovery, saga/outbox patterns.

·       Messaging/Caching: RabbitMQ/Kafka, Redis.

·       Containers/Orchestration: Docker; Kubernetes (Helm, probes, HPA).

·       Integration with different cloud services.

·       DDD, event sourcing, gRPC, feature flags.

·       Advanced performance profiling and GC tuning.

Experience

·       3-5+ years professional back-end experience.

·       Proven delivery of high-throughput, production systems.

·       Bachelor’s degree in CS/CE or equivalent experience.

·       Excellent communication, documentation, and mentoring skills.

AI Tools & Recommendations

Required/Supported Tools:

·       GitHub Copilot / Copilot Chat (primary) for C#/.NET code generation, refactoring, and test scaffolding.

·       ChatGPT (or equivalent) for system design reviews, API contract drafting (OpenAPI), threat modeling checklists, and migration playbooks.

·       Optional: Amazon CodeWhisperer/Codeium for additional completion coverage if needed.

Documentation (Required)

What to document

·       Overview: what the feature/service does and why it exists.

·       Interfaces: APIs or UI contracts (inputs, outputs, errors).

·       Data: key models/fields and any persistence notes.

·       Security & Privacy: auth, sensitive data handling, known risks.

·       Run & Deploy: how to run locally, how to deploy, basic troubleshooting.

·       Testing: what’s covered (unit/integration/E2E) and how to run tests.

·       Change Log: what changed in this version and any migration notes.

·       Ownership: main contacts and links to related work items.

Where to keep it

·       In-repo README and a short /docs note per feature; update Storybook for UI components when applicable.

Quality gates

·       Before merge: docs updated and linked to the work item.

·       PR checklist: “Docs updated?” must be checked.

·       Release: add/update release notes and link to PRs/issues.