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
