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Happiest Minds - Technical Lead - Backend Development

Happiest Minds Technologies
8 - 11 Years
Bangalore

Posted on: 02/07/2026

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Job Description

About the Role :


We are looking for a high-performing Technical Lead to join our AI Productivity Centre of Excellence. This role blends hands-on full-stack development, technical leadership, and client engagement to deliver next-generation, AI-enabled solutions.


You will play a critical role in driving architecture, guiding engineering teams, and influencing delivery outcomes, while actively contributing to development. As a C4 leader, you are expected to operate with high ownership, autonomy, and strong stakeholder engagement.


This is a client-facing role, requiring confidence in presenting solutions, leading technical discussions, and aligning engineering execution with business goals.


Key Responsibilities :


Technical Leadership & Delivery :


- Lead end-to-end design and development of scalable full-stack applications


- Drive architectural decisions and enforce coding standards and best practices


- Translate business requirements into robust, maintainable solutions


- Collaborate with architects and stakeholders for technical alignment


- Contribute hands-on to critical modules and PoCs


Team Mentorship :


- Mentor and guide engineers on clean code, design patterns, and best practices


- Conduct high-quality code reviews and elevate engineering standards


- Support sprint planning, estimation, and technical decomposition


- Identify and address skill gaps through coaching and knowledge sharing


Client & Stakeholder Engagement :


- Present solutions, demos, and project updates to clients and stakeholders


- Bridge business requirements with technical execution effectively


- Lead discussions in requirement gathering, sprint reviews, and escalations


- Create clear technical documentation and presentations


AI & Innovation :


- Leverage AI/GenAI tools to enhance developer productivity


- Apply prompt engineering techniques in workflows


- Stay updated with LLM and AI trends and evaluate use cases


- Contribute to CoE innovation and R&D initiatives


Mandatory Skills :


Backend Development (Any One) :


- .NET Core / ASP.NET (C#, REST APIs, Entity Framework)


- Java (Spring Boot, Spring MVC, JPA/Hibernate)


- Node.js (Express / NestJS, event-driven & REST architectures)


Full-Stack Expertise :


- Frontend: React / Angular / Vue.js with TypeScript, HTML, CSS


- Strong experience in API design and integration


- Ability to own end-to-end application development


Cloud Platforms (Any One) :


- AWS (EC2, S3, Lambda, RDS, API Gateway, IAM)


- Azure (App Services, Functions, DevOps, AI Services)


Communication :


- Strong written and verbal communication skills


- Proven client-facing and presentation experience


- Ability to engage both technical and business stakeholders


Technical Expertise :


Architecture & Design :


- Strong understanding of SOLID principles and design patterns


- Experience with microservices and distributed systems


- Ability to evaluate and justify architectural decisions


DevOps & CI/CD :


- Experience with CI/CD tools (GitHub Actions, Azure DevOps, Jenkins)


- Working knowledge of Docker and containerization


- Strong Git workflow practices


Agile Delivery :


- Experience working in Agile (Scrum/Kanban/SAFe) environments


- Active participation in sprint ceremonies


- Familiarity with Jira, Azure Boards, or similar tools


GenAI Fundamentals :


- Basic understanding of LLMs and AI use cases


- Exposure to prompt engineering


- Familiarity with tools like GitHub Copilot, ChatGPT


Preferred Qualifications :


- AWS / Azure certifications


- Experience with serverless architectures (Lambda, Azure Functions)


- Knowledge of Infrastructure as Code (Terraform, Bicep, CloudFormation)


- Understanding of security standards (OAuth2, JWT, OWASP Top 10)


- Experience with SQL & NoSQL databases


- Contribution to CoE or knowledge-sharing initiatives


Technology Stack :


- Backend: .NET Core, Java Spring Boot, Node.js


- Frontend: React, Angular, TypeScript


- Cloud: AWS, Azure


- AI/GenAI: LLMs, Prompt Engineering, Copilot


- DevOps: Docker, Jenkins, GitHub Actions


- Data: SQL, PostgreSQL, MongoDB


- Tools: Jira, Confluence, VS Code, IntelliJ


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