Fullstack Developer(Node.Js) - 5 - 10yrs - Bangalore

Role-Senior Software Engineer Full Stack / Cloud Native Engineering

Level - Senior Engineer |

Exp- 5–10 Years | Product Engineering | Cloud Native Applications

Location-Bengaluru, India (Hybrid)

One round F2F is Mandatory (Bangalore)

Reports To

Engineering Manager – ICS

Role Overview

Embedded within the Product Engineering organization, you will design, build, and evolve

enterprise-scale cloud-native software solutions by applying engineering-first principles rather

than relying on any single language, framework, or technology. You will work closely with

Product Owners, Architects, UX Designers, DevOps, QA, and Engineering teams to deliver

scalable, secure, resilient, and maintainable applications.

This role is intended for engineers who have demonstrated true end-to-end engineering

ownership—from requirement analysis and architecture through development, testing,

deployment, production support, and continuous improvement. Beyond writing high-quality

code, you will influence engineering standards, mentor engineers, improve developer

productivity through responsible AI-assisted engineering, and drive technical excellence across

the software development lifecycle.

The ideal candidate is a product engineer who can independently solve complex engineering

problems, participate in architecture decisions, and consistently deliver measurable business

outcomes rather than simply executing assigned development tasks.

Technology Landscape

Programming Languages

• TypeScript

• JavaScript (ES6+)

• Node.js

Frontend Technologies

• Angular

• React

• HTML5

• CSS3

• Micro Frontend Architecture

• Single Page Applications (SPA)

Backend Engineering

• Node.js

• RESTful APIs

• API Development

• Microservices

• Asynchronous Programming

• Event-driven Architecture

Cloud & Distributed Systems

• Cloud Native Applications

• Distributed Computing

• Containerization

• CI/CD Pipelines

• Fault Tolerance

• Observability

• Scalability Engineering

• Consistency Models

Databases

• Relational SQL Databases

• NoSQL Databases

• Database Design

• Query Optimization

DevOps & Engineering Tools

• Git

• CI/CD

• Containerization

• Dependency Management

• Branching Strategies

• Code Review

• Pull Requests

• Monitoring & Dashboards

Testing & Quality Engineering

• Unit Testing

• Test-First Development (TDD)

• API Testing

• UI Automation Frameworks

• Integration Testing

• Test Coverage

• Automated Quality Gates

AI-Assisted Engineering

• AI-assisted Software Development

• AI Code Generation

• AI Code Review

• AI-assisted Testing

• Responsible AI Engineering Practices

Key Responsibilities

1. End-to-End Product Engineering

• Own software features from requirement gathering through architecture, development, testing,

deployment, production support, and continuous improvement.

• Deliver production-ready software with accountability for quality, scalability, security, and

maintainability.

• Drive engineering solutions that balance business priorities with long-term architectural

sustainability.

2. Architecture & Technical Design

• Participate in architecture discussions and technical design reviews.

• Design modular, scalable, maintainable, and cloud-native software solutions.

• Apply asynchronous programming techniques to build resilient distributed systems.

• Ensure solutions adhere to modern secure engineering practices.

3. Full Stack Software Development

Develop high-quality software using:

• Node.js

• TypeScript

• JavaScript

• Angular

• React

• REST APIs

• Micro Frontends

• SQL & NoSQL Databases

Build reusable, maintainable, and well-tested software using engineering best practices and

responsible AI-assisted development.

4. Software Quality & Testing

• Practice Test-Driven Development (TDD).

• Build and maintain high unit test coverage.

• Improve automated API and UI test coverage.

• Ensure every code change is validated through automated quality gates.

• Enable seamless integration with CI/CD pipelines.

5. Production Engineering & Operational Excellence

• Support UAT and Production deployments.

• Own production issue resolution and Root Cause Analysis (RCA).

• Improve application observability through monitoring dashboards and alerting.

• Optimize application performance, scalability, reliability, and system uptime.

• Collaborate with DevOps to ensure successful production releases.

6. Technical Leadership & Mentoring

• Mentor junior and intermediate engineers through code reviews, pair programming, and

technical coaching.

• Establish engineering standards and coding best practices.

• Lead technical discussions and influence engineering decisions.

• Promote engineering excellence and continuous learning across teams.

7. Technical Debt & Continuous Improvement

• Identify, prioritize, and reduce technical debt.

• Keep dependencies secure and up to date.

• Improve maintainability through modular design and refactoring.

• Drive engineering productivity through automation and AI-assisted development practices.

8. Cross-Functional Collaboration

Collaborate closely with:

• Product Owners

• Solution Architects

• Engineering Leads

• QA Teams

• DevOps Engineers

• Scrum Masters

• Business Stakeholders

to deliver high-quality customer-focused software solutions.

Must-Have Qualifications

Experience

• 5–8+ years of software engineering experience in product engineering environments.

• Proven ownership of complete software features from architecture through production support.

• Strong experience building cloud-native, enterprise-grade applications.

• Experience collaborating across Agile product engineering teams.

Programming Languages

• TypeScript

• JavaScript

• Node.js

Frontend Technologies

• Angular

• React

• Single Page Applications (SPA)

• Micro Frontend Architecture

Backend Technologies

• RESTful APIs

• Microservices

• Asynchronous Programming

Databases

• Relational SQL Databases

• NoSQL Databases

Cloud & Platform Engineering

• Distributed Systems

• Cloud Computing Fundamentals

• Containerization

• CI/CD

• Git

• Dependency Management

Software Engineering Practices

• Test-Driven Development (TDD)

• Secure Coding Practices

• Design Patterns

• Code Reviews

• Pull Request Governance

• Technical Debt Management

• Branching Strategies

• Production Support

AI-Assisted Engineering

Experience using AI-assisted development tools for:

• Code Generation

• Code Review

• Test Generation

• Developer Productivity