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Sr. Frontend Developer (AI / React.js / Next.js)- Bangalore

Teamplus Staffing Solution

Bengaluru, Karnataka, India
Full-Time
Posted 1 month ago

Job Description & Responsibilities

Hi

We are having an opening for Sr. Frontend Developer (AI / React.js / Next.js)- Bangalore - bellandur, - hybrid job

Working Days: Monday Friday

Job Timing: Day shift

Role Summary

We are seeking a highly skilled Senior Frontend Developer with expertise in React.js, Next.js, JavaScript, TypeScript, and Backbone.js to design, develop, test, deploy, and maintain modern enterprise web applications.

The ideal candidate is an AI-native engineer who leverages Agentic AI and AI Coding Assistants throughout the software development lifecyclefrom requirements analysis and code generation to unit testing, integration testing, deployment automation, production monitoring, and application maintenance.

This role requires strong frontend architecture expertise, engineering leadership, and the ability to accelerate software delivery through AI-assisted development practices while maintaining enterprise-grade quality, security, scalability, and maintainability.

PositionSr Frontend Developer (AI-Accelerated Engineering / React.js / Next.js)Qualification

  • Bachelor's degree in Computer Science, Software Engineering, or related field.

Number of post1Office LocationBangalore - bellandur, - hybrid job 3 days from office - onsite client location Job TypeFull Time GenderMale/FemaleIndustryITExperience:

  • 610 years of Frontend application development experience

Interview process Total 3 Technical round

2 rounds evaluation with LV (we can plan to take this together based on panel availability) & 1 with clientSalary30 to 35 L p.a. Key Responsibilities

Key Responsibilities

Frontend Application Development

  • Design, develop, and maintain enterprise-grade web applications using React.js, Next.js, JavaScript, TypeScript, and Backbone.js.
  • Build responsive, accessible, and high-performance user interfaces.
  • Develop reusable UI components, frontend frameworks, and design system libraries.
  • Implement scalable frontend architectures aligned with enterprise standards.
  • Collaborate with UX designers, product managers, architects, and backend engineers.

AI-Assisted & Agentic Software Development

  • Utilize Agentic AI and AI coding tools to accelerate software development.
  • Leverage AI agents for code generation, refactoring, code reviews, debugging, documentation generation, and impact analysis.
  • Use AI-powered workflows to improve developer productivity and software quality.
  • Establish best practices for AI-assisted software engineering.
  • Drive adoption of AI-native development methodologies across engineering teams.

Unit Testing & Quality Engineering

  • Develop comprehensive unit tests for frontend applications.
  • Utilize AI agents to generate, validate, and optimize test cases.
  • Ensure high code coverage and maintainability.
  • Build automated validation pipelines for UI components and business logic.
  • Perform peer code reviews and enforce engineering best practices.

Testing Technologies

  • Jest
  • React Testing Library
  • Vitest
  • Storybook Testing
  • Mock Service Worker (MSW)

Integration & End-to-End Testing

  • Design and implement integration testing strategies across frontend, APIs, and backend services.
  • Leverage Agentic AI to generate integration test scenarios and regression suites.
  • Develop automated end-to-end testing frameworks.
  • Ensure application stability across releases.

Testing Tools

  • Cypress
  • Playwright
  • Selenium
  • Postman
  • API Testing Frameworks

Deployment & Release Management

  • Build and manage CI/CD pipelines for frontend applications.
  • Utilize AI agents to automate deployment validation, release readiness checks, and environment verification.
  • Support blue-green, rolling, and canary deployment strategies.
  • Improve deployment reliability through automation and monitoring.
  • Collaborate with DevOps and platform engineering teams.

Deployment Technologies

  • Azure DevOps
  • GitHub Actions
  • Jenkins
  • Docker
  • Kubernetes

Application Maintenance & Production Support

  • Monitor production applications and proactively identify issues.
  • Leverage Agentic AI for root cause analysis, incident triage, log analysis, and remediation recommendations.
  • Resolve performance bottlenec

Required Skills

JavaScriptTypeScriptReactAzureDockerKubernetesCI/CDLeadership

Job Details

Employment TypeFull-Time
Work ModeHybrid
Experience1015 years
Positions1

Posted by

N/A

Posted on:

17 Jul 2026

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