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Senior Dot Net Full Stack Developer

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Senior Dot Net Full Stack Developer

Artizent Infosystems

Senior Dot Net Full Stack Developer

Skills

SQL QueriesNextReactTypescriptIOSData VisualizationC#.NETData AnalysisAIGDPRComplianceJavascriptAzure

23 days ago

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Important information


Contract type:

Permanent

Salary:

₹1,500,000 – ₹3,000,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

15 October 2026

What they need


Job highlights

  • 6+ years experience in Next.js, React, C#, .NET, Azure, AI-assisted development, and regulated environments
  • Design and build full stack web applications, implement AI-powered features, ensure production readiness, and collaborate with cross-functional teams

Position: Senior Full Stack Engineer

Exp: 6-15 Years

Location: Bangalore [Bagmane Tech Park, C.V. Raman Nagar]

Work mode: 3 Days WFO

Role Summary:

We are hiring a Senior Full Stack Engineer to design, build, and operate secure, scalable products and integrations across our global mobility platform. You will deliver hands-on engineering across Next.js and React front ends and C# and .NET services running on Microsoft Azure, operating in a regulated, global environment. This role is for an experienced engineer who can own end-to-end features, contribute to architectural decisions, and consistently deliver production-ready solutions using agentic development practices including spec-driven development and agent-driven development with tools such as Claude Code and Codex. You will build AI-native products and workflows, integrating AI capabilities directly into the applications and services you deliver.

What Youll Do:

  • Build and evolve modern web experiences using Next.js, React, and TypeScript with a focus on performance, reliability, and usability.
  • Design and implement backend services and APIs using C#, .NET, and WebAPI, including integrations that support payroll, tax, and immigration workflows.
  • Deliver Azure-native implementations using Microsoft PaaS services, secure patterns, and operational best practices.
  • Contribute to system architecture and technical design, including integration patterns using REST and event-driven approaches.
  • Own production readiness for your work including logging, monitoring and alerting, incident response support, and operational documentation.
  • Apply secure development practices appropriate for regulated environments including privacy, auditability, and data protection.
  • Partner with product, implementation, and client-facing teams to translate requirements into technical plans and deliverables.
  • Use agentic development practices including agent-driven development with Claude Code, Codex, or similar AI coding agents to accelerate design, implementation, testing, and operations across the SDLC.
  • Work in a spec-driven development workflow, authoring detailed specifications that guide both human and AI agent implementation, translating clear requirements into predictable delivery and maintainable code.
  • Design and implement AI-powered features within products including prompt engineering, LLM integration, retrieval-augmented generation (RAG) patterns, and AI-assisted user workflows.
  • Evaluate, integrate, and operationalize AI APIs, models, and toolchains within application architectures, ensuring responsible AI usage, cost management, and observability.
  • Mentor and support other engineers through code reviews, pairing, and technical guidance.

Required Qualifications

  • 5+ years professional software development experience building enterprise web applications and services.
  • Strong experience designing and building large JavaScript applications with Next.js and or React (TypeScript, state management, performance optimization).
  • Strong backend development experience in C# and .NET (ASP.NET, WebAPI, MVC) including API design and service patterns.
  • Proven experience with Microsoft Azure designing and building cloud solutions using PaaS services, frameworks, and operational tooling.
  • Experience delivering systems in regulated or compliance-oriented environments (security controls, auditability, privacy, data handling).
  • Strong engineering fundamentals including design patterns, separation of concerns, scalable architecture, and pragmatic trade-offs.
  • Experience with agentic or AI-assisted development workflows such as spec-driven development, agent-driven development using tools like Claude Code or Codex, or similar AI coding agent practices.
  • Demonstrated ability to build products that incorporate AI capabilities including prompt design, LLM API integration, or AI-augmented user experiences.

Preferred Qualifications

  • Azure certifications and/or Microsoft certifications.
  • Experience with event-based and distributed systems including messaging and asynchronous workflows.
  • Data and persistence experience with SQL Server and ORMs (Entity Framework, nHibernate) plus caching strategies.
  • Strong testing discipline including TDD and BDD, xUnit, Jest or Mocha, CI/CD automation, and quality gates.
  • Experience building analytics and reporting with BI and data visualization tools and domain-specific reporting.
  • Exposure to mobile ecosystems (iOS and Android) and API design supporting mobile clients.
  • Experience with prompt engineering patterns, RAG architectures, vector databases, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, Azure AI Services).
  • Familiarity with AI code generation and review workflows, including evaluating and curating AI-generated code for production readiness.
  • Experience contributing to or building AI-augmented internal tools, developer experience tooling, or intelligent automation within engineering workflows.

Technical Skills We Value

  • Frontend: Next.js, React, TypeScript, HTML, CSS, SPA architecture, performance and accessibility
  • Backend: C#, ASP.NET, WebAPI, RESTful design, authentication and authorization patterns
  • Cloud: Azure PaaS services, observability, secure networking, identity, deployment automation
  • Engineering practices: Git-based workflows, secure SDLC, spec-driven development, AI-assisted code reviews, automated testing, documentation
  • AI-enabled delivery: agentic development using Claude Code, Codex, or similar AI coding agents; spec-driven development workflows; prompt engineering; LLM API integration; RAG patterns; AI orchestration frameworks; responsible AI practices and observability

Education

  • Bachelors degree in Computer Science, Engineering, or related field required.
  • Masters degree preferred.

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