Job Detail: Sr. .NET and Angular Developer

Description:

• Build responsive, accessible front-end components using Angular, TypeScript, and modern JavaScript
• Develop C# backend services and APIs on ASP.NET Core, including asynchronous workers and message queue processing
• Build REST and GraphQL integrations, handling OAuth2/OIDC auth, webhooks, and OpenAPI-documented contracts
• Own schema design and query performance across Oracle and SQL Server databases, writing and tuning stored procedures
• Build analytics pipelines in Databricks using Delta Lake, notebooks, SQL, and PySpark
• Provision and run cloud workloads on AWS, spanning Lambda, API Gateway, Aurora/RDS, and container services like EKS or ECS, using Terraform or CDK for provisioning
• Bring AI services like OpenAI or Bedrock into workflows for document automation and assistant-style features
• Bake in security fundamentals: authentication/authorization, secrets handling, input validation
• Automate releases through GitHub Actions or Azure DevOps pipelines with observability built in from the start
• Rotate through on-call, respond to incidents, and drive post-mortems
• Convert requirements from product owners and SMEs into concrete user stories and designs
• Mentor other engineers and weigh in on architecture and governance conversations

• 6+ years building full stack applications with ownership across the whole stack
• Strong Angular and TypeScript chops, comfortable with modern front-end tooling
• Deep C# and ASP.NET Core background, building APIs and services that hold up in production
• Strong SQL fundamentals in Oracle and/or SQL Server: performance tuning, indexing, procedural code
• AWS experience with core services like Lambda, S3, and RDS, plus infrastructure-as-code using Terraform or similar
• Background building pipelines on Databricks or an equivalent lakehouse platform
• Comfortable with modern identity and access patterns: OIDC, OAuth2, SSO, role-based permissions
• Track record owning CI/CD pipelines with real automated test coverage

• GraphQL experience alongside messaging/event tooling like Kafka, SQS, or SNS
• Redis or similar caching layer experience
• Comfort with Docker and container orchestration platforms
• Some Azure exposure (Key Vault, App Services, Azure SQL) for teams running multi-cloud
• Practical exposure to applied AI: retrieval-augmented generation, embeddings, prompt design
• Exposure to ERP-adjacent or supply chain systems