Lead Software Engineer - .NET, Azure, React & AI Native

EPAM Systems

Chennai District

On-site

INR 3,500,000 - 6,000,000

Full time

14 days+
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Job summary

EPAM Systems in Chennai, India is seeking a Lead Software Engineer to guide architecture and delivery of full-stack applications using .NET, Azure, and ReactJS. You will mentor a team, translate stakeholder needs into technical plans, and apply AI-native engineering with Microsoft tools.

The role emphasizes leadership, scalable design, and strong backend development with SQL Server, leveraging Azure Functions for cloud-native solutions.

Qualifications

  • 9+ years of full-stack experience with .NET, Azure and React.
  • Strong backend development foundation with SQL Server.
  • Proven architecture, system design and planning skills.
  • Leadership experience with effective stakeholder communication.
  • Experience with Azure services including Functions and Durable Functions.
  • Knowledge of AI SDLC practices and applying them to delivery workflows.
  • Understanding of agentic solution implementation using Microsoft tools.

Responsibilities

  • Design scalable full-stack solutions with .NET, Azure, and ReactJS.
  • Lead delivery of user stories across estimation, implementation, and deployment.
  • Translate business needs into technical requirements and solutions.
  • Create technical documentation and artifacts supporting design and development.
  • Mentor engineers across the software development lifecycle to ensure quality.
  • Apply AI-native practices within the SDLC to improve outcomes.
  • Implement agentic solutions using Microsoft AI tools.
  • Develop and maintain backend systems, including SQL-based data solutions on SQL Server.
  • Utilize Azure Functions and Durable Functions for cloud-based solutions.

Skills

Full-stack .NET
Azure
ReactJS
SQL Server
Architecture
Leadership
Stakeholder communication
Azure Functions
Durable Functions
AI SDLC
Agentic solutions
Microsoft tools

Tools

Microsoft SQL Server
Azure Functions
Durable Functions

Job description

We are searching for a Lead Software Engineer to lead architecture and delivery of full-stack applications using .NET, Microsoft Azure, and ReactJS. You will guide a team, translate stakeholder needs into technical plans, and incorporate AI Native Engineering and agentic solutions with Microsoft tools.

Responsibilities
  • Design scalable full-stack solutions with .NET, Microsoft Azure, and ReactJS
  • Lead delivery of user stories across estimation, implementation, and deployment activities
  • Work with stakeholders to understand business needs and translate them into technical requirements
  • Create technical documentation and artifacts that support solution design and ongoing development
  • Mentor and guide engineers across the software development lifecycle to ensure quality delivery
  • Apply AI-native practices within the software development lifecycle to improve outcomes
  • Implement agentic solutions using Microsoft AI tools
  • Develop and maintain backend systems, including SQL-based data solutions on Microsoft SQL Server
  • Utilize Microsoft Azure Functions and Durable Functions to deliver cloud-based solutions
Requirements
  • Seasoned full-stack experience (9+ years) using .NET, Microsoft Azure, and React
  • Strong backend development foundation, including SQL and Microsoft SQL Server
  • Demonstrated strength in solution architecture, system design, and planning
  • Proven leadership experience with effective stakeholder communication during the development process
  • Experience with Microsoft Azure services, including Functions and Durable Functions
  • Knowledge of AI SDLC practices and how to apply them to delivery workflows
  • Understanding of agentic solution implementation using Microsoft tools
Nice to have
  • Knowledge of the Insurance value chain from submission to policy issuance, including quoting and binding
  • Familiarity with specialty Excess products such as Excess Casualty, Professional Liability, Medical Liability, Products, and Contractors
  • Background in Actuarial reserving
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