Lead .NET Developer

Description

What Youll Do

• Design, develop, and maintain .NET services supporting transactional and analytical workloads
• Contribute to analytics platforms, including data aggregation, metrics, reporting, and downstream integrations
• Implement features using modern architecture patterns such as microservices, event driven systems, and cloud native design
• Build and integrate AI enabled capabilities, including Agentic AI workflows using frameworks such as Lang Graph
• Participate in building multi step AI workflows and agent components under established architectural guidance
• Contribute to agent memory implementations (short term, long term, scoped) and lifecycle handling
• Ensure code meets standards for performance, reliability, security, and observability
• Collaborate closely with Product Managers, QA, data teams, and external partners to deliver features end to end
• Participate in code reviews, design discussions, and technical refinements
• Support test automation, CI/CD pipelines, and production readiness practices

• 6 – 10 years of backend engineering experience with strong expertise in .NET / C#
• Experience building distributed systems supporting transactional and/or analytical workloads
• Exposure to analytics platforms, reporting systems, or data intensive services
• Hands on experience with AI / ML or Generative AI, with at least 1+ year in production or advanced POC environments
• Understanding of data consistency, fault tolerance, scalability, and performance tuning
• Exposure to stateful AI agents, workflow orchestration, or AI pipeline components is a plus
• Strong collaboration skills and experience working with cross functional stakeholders
• Ability to take ownership of features and deliver high quality solutions in an agile team

• Experience in fintech or regulated domains
• Familiarity with RAG architectures, vector databases, or prompt orchestration
• Experience working in cloud and Kubernetes based environments

• NET / C#, SQL, Distributed Systems, Analytics Platforms, Cloud & Kubernetes, Generative AI, Agentic AI (Lang Graph), Security & Observability