Live opening · Posted 10 days ago

Lead Dotnet Developer

Novacis Innovations · Chennai, Tamil Nadu, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 10 days ago
CompanyNovacis Innovations
LocationChennai, Tamil Nadu, India (On-site)
Work modeNo
SourceLinkedin
Listed10 days ago

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About the role

Description supplied by the original job listing.

About the Role
We are seeking a Dotnet Technical Lead with 8+ years of experience in Microservice .NET Technologies, including 2–4 years in a technical lead capacity. You will be responsible for leading business and technology outcomes for assigned programs or projects.
Apply Link: https://forms.cloud.microsoft/r/jhtjzxg5ek
Technology/Skills
Expertise in Microsoft .NET Technologies and MVC Architecture
Strong design experience, including architecture and design patterns
DevOps/Cloud experience is an added advantage
Strong experience in integration architecture including API Gateway, Service Catalogs, etc.
Strong experience in integration design for secured and scalable APIs and Web Services
Excellent communication and interpersonal skills, with the ability to build strong relationships with stakeholders at all levels
Proven ability to lead cross-functional teams and deliver projects on time, within budget, and to required quality standards
Roles & Responsibilities
Lead and manage end-to-end technical projects, ensuring successful planning, execution, and delivery within scope, budget, and timeline
Collaborate with cross-functional teams — developers, architects, QA, and stakeholders — to define project requirements, objectives, and deliverables
Provide technical guidance and expertise in Microsoft .NET, MS SQL, ASP.NET Core, and Azure
Ensure adherence to software development best practices, coding standards, and QA processes
Act as a liaison between technical and non-technical stakeholders
Conduct regular project status meetings and reporting
Collaborate with AI and LLM teams to build context-aware data pipelines
Contribute to retrieval-augmented generation (RAG)
Support deployment and monitoring of LLM-powered applications
Good-to-Have Skills
Exposure to LLM-driven architecture and GenAI product integration
Experience with LangChain, RAG pipelines, or embedding-based search systems
Knowledge of AI/ML concepts, or willingness to learn
End-to-end project ownership and R&D project experience is an added advantage
Educational Qualification
Engineering background with a proven track record of delivering successful projects.

Work arrangement
No

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