Lead Engineer - R01571024

LocationBangalore, Karnataka, India

SeniorityLead

Experience8+ yrs

DepartmentDigital Engineering, Digital Engineering : Digital Engineering

Company size5,001–10,000 people

PostedSep 16, 2026 · 3w ago

Verified live23h ago

At a glanceSummarised by Seekless from the posting.

At least 8 years of professional software engineering experience

Minimum of 2 years in technical leadership roles

Deep expertise in front-end web development within AI-augmented environments

Expert proficiency in React, Angular, Next.js, TypeScript, JavaScript (ES6+), HTML5, and CSS3

Experience building reusable component libraries and enterprise design systems

Strong understanding of responsive design, accessibility (WCAG), performance optimization, and modern UI patterns

Hands-on experience with Node.js, .NET, Java, or Python for backend development

API development using REST and GraphQL

Experience integrating front-end applications with enterprise backend services

Cloud-native development experience with Azure (preferred), AWS, or GCP

CI/CD pipeline automation using Azure DevOps, GitHub Actions, or similar tools

Containerization and orchestration using Docker and Kubernetes

Experience with SQL databases (SQL Server, PostgreSQL, MySQL) and NoSQL databases (Cosmos DB, MongoDB, DynamoDB)

Version control using Git and modern branching strategies

Hands-on experience with AI-assisted development tools such as GitHub Copilot, Copilot Workspace, Cursor, or similar platforms

Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline

Experience with Micro Frontend Architecture

Experience with Enterprise Design Systems

Knowledge of Server-Side Rendering (SSR) and Static Site Generation (SSG)

Experience with event-driven architectures and message queues

Exposure to GenAI, Agentic AI platforms, or AI-powered applications

Understanding of observability tools, monitoring, logging, and distributed tracing

Experience developing enterprise SaaS applications

Ability to leverage prompt engineering techniques for software development tasks

Knowledge of responsible AI practices, governance frameworks, and human-in-the-loop systems

Relevant certification such as Microsoft Certified: Azure Developer Associate, AWS Certified Developer – Associate, or Google Professional Cloud Developer

Certification in front-end frameworks (e.g., React, Angular) or AI-native development tools is a plus

Skills

React

Angular

Next.js

TypeScript

JavaScript (ES6+)

HTML5

CSS3

Node.js

.NET

Java

Python

REST

GraphQL

Azure

AWS

GCP

Azure DevOps

GitHub Actions

Docker

Kubernetes

SQL Server

PostgreSQL

MySQL

Cosmos DB

MongoDB

DynamoDB

Git

GitHub Copilot

Copilot Workspace

Cursor

Lead Engineer

Job requirements

Experience Range: With at least 8 years of professional software engineering experience, including a minimum of 2 years in technical leadership roles and deep expertise in front-end web development within AI-augmented environments Key Responsibilities:

Responsibilities

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Lead the design and development of modern, responsive, and scalable web applications, delivering exceptional user experience and performance

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Architect and own front-end solutions, including reusable component libraries and enterprise UI standards

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Develop high-quality user interfaces using React, Angular, Next.js, or similar frameworks, ensuring accessibility and cross-browser compatibility

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Design and implement robust backend services and APIs using Node.js, .NET, Java, or Python, integrating seamlessly with enterprise systems

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Mentor and guide development teams on architecture, coding best practices, and technical decision-making to drive engineering excellence

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Collaborate with product owners, UX designers, architects, and engineering teams to deliver business-critical solutions

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Drive technical excellence through code reviews, engineering standards, and quality governance

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Partner with AI agents for code generation, testing, documentation, and review activities, leveraging AI-native development tools

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Contribute across all phases of the SDLC: Plan, Design, Develop, Test, Deploy, Operate, and Optimize

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Implement automated testing frameworks covering unit, integration, API, and UI testing to ensure code quality and reliability

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Lead cloud-native deployments using CI/CD pipelines, Docker, Kubernetes, and cloud platforms, optimizing for scalability, security, and compliance

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Identify and implement opportunities to improve engineering productivity through AI-driven development practices and automation

Required Skills:

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