What are the responsibilities and job description for the Software Architect (.NET, Angular) Hands On position at RELQ TECHNOLOGIES?
We are seeking a highly technical, hands-on Architect who writes code daily and provides architectural guidance across our .NET, Angular, and SQL platforms. This role focuses on modern service design, platform consistency, performance, and pragmatic improvements within a hybrid modern/legacy environment.
What You'll Do
What You'll Do
- Build and architect .NET Core services and APIs, and improve structure and patterns within existing .NET Framework applications.
- Define Angular architecture and shared UI patterns used across multiple TMS products.
- Design and optimize SQL Server schemas, stored procedures, indexing, security, and performance.
- Ensure predictable performance and scalability across multi-tenant SaaS applications.
- Establish API standards, security patterns, and best practices across teams.
- Drive DevOps maturity including CI/CD pipelines, infrastructure automation, automated testing, and shift-left quality.
- Use AI tools (Copilot, Claude) to accelerate coding, refactoring, documentation, and analysis.
- Provide architectural clarity, communicate tradeoffs to senior technical and business leaders, and collaborate across multiple teams and codebases.
- 8 years of enterprise software experience with deep .NET Core, C#, and distributed-system expertise.
- 2 years of real architectural responsibility: patterns, standards, system design, or platform guidance.
- Strong Angular experience with the ability to set UI architecture direction.
- Advanced SQL Server expertise including performance tuning, indexing, and secure data design.
- Hands-on experience building scalable cloud systems in Azure or AWS.
- Solid DevOps grounding: CI/CD, IaC, automated tests, observability, and security fundamentals.
- Ability to make pragmatic architectural decisions in hybrid legacy/modern environments.
- Experience communicating architectural decisions to senior technical and business leaders.
- Daily comfort using AI tools to boost speed, clarity, and quality.
- Experience improving legacy systems or modularizing large codebases.
- Familiarity with event-driven or message-based patterns.
- Exposure to AI-powered features or intelligent automation.