Staff Engineer - DotNet

A Staff Engineer at CAW is a technical and people leader responsible for end-to-end project delivery and the growth of engineers. You own technical design (LLDs), contribute to HLD discussions, lead execution, ensure engineering best practices, and act as the primary technical point of contact for clients. You manage a set of engineers, supporting their career progression through mentorship, feedback, and performance development.

Responsibilities

• Own Low-Level Design (LLD) and code quality; contribute to HLD discussions under guidance.
• Own end-to-end project delivery: requirements understanding, sprint planning, execution, risk management, and production readiness.
• Lead the project engineering team with clear technical direction, ownership, and execution accountability.
• Act as primary people manager for assigned engineers; own their career progression, mentorship, and growth.
• Provide regular 1:1s focused on skill development, feedback synthesis, and long-term career goals.
• Serve as primary technical point of contact for clients; build trust through clear communication and proactive problem-solving.
• Ensure best practices across architecture, implementation, testing, and production readiness.
• Establish disciplined AI usage across the team for design validation, reviews, testing, and documentation.

Technical Expertise

The core requirements for the job include the following:

• In-depth knowledge of C#. NET languages and the DotNet Core Web API Framework.
• Strong SQL skills: complex queries, stored procedures, functions; PostgreSQL or SQL Server proficiency.
• Experience with Entity Framework or Dapper ORM.
• ReactJS/Angular frontend experience.
• Cloud, Agile, CI/CD, and DevOps environments.
• Solid grasp of SOLID Principles and OOPS Concepts.

Leadership And Ownership

• Proven ability to own feature-level delivery end-to-end with minimal supervision.
• Strong people management skills with a track record of mentoring and developing engineers.
• Exposure to system design and architecture discussions.
• Production-first mindset with a focus on reliability, scalability, and operational excellence.

AI Systems And Engineering (Nice To Have)

• Advanced experience deploying RAG or agent-based systems with LangGraph orchestration.
• Expert-level mastery of async Python, system thinking, and building scalable backends.
• Design modular, maintainable multi-agent AI systems aligned with SOLID principles.
• Build high-concurrency, async Python backends for complex AI workloads with enterprise stability.
• Architect sophisticated agentic workflows using LangGraph with state persistence and error recovery.
• Design and optimize RAG pipelines: advanced chunking, hybrid search, and re-ranking.
• Collaborate on reusable AI components and internal frameworks to enhance team velocity.
• Authentication Providers (IdentityServer, Auth0 or equivalent).

Skills:- C#, .NET, ASP.NET, ASP.NET MVC, MongoDB, PostgreSQL, Microservices, Entity Framework and Windows Azure