TECHNICAL LEAD - .Net Core

JOB DESCRIPTION

Technical Lead | C4 Competency Level

Centre of Excellence -AI Productivity

Job Title

Technical Lead

Competency Level

C4

 

Min. Experience

8 Years

About the Role

We are looking for a driven and technically versatile Technical Lead to join our Centre of Excellence  AI Productivity team. In this role, you will lead full-stack engineering efforts, guide junior and mid-level engineers, and contribute to the design and delivery of AI-integrated productivity solutions.

You will be hands-on with development while taking ownership of technical decisions, architectural guidance, and stakeholder communication. As a C4-level engineer, you are expected to operate with a high degree of autonomy, influencing both delivery outcomes and engineering culture within the team.

This is a client-facing role. You will present technical solutions, lead discussions with business stakeholders, and represent the team's engineering approach to internal and external audiences.

Key ResponsibilitiesTechnical Leadership & Delivery

• Lead end-to-end design and development of full-stack applications using .NET, Java, or Node.js
• Drive architectural decisions and ensure code quality through reviews, standards, and mentoring
• Translate business requirements into scalable, maintainable technical solutions
• Collaborate with architects to define and enforce technical best practices across the team
• Actively contribute production-grade code to critical modules and proof-of-concepts

Team Guidance & Mentoring

• Guide and mentor junior and mid-level developers on design patterns, clean code, and engineering discipline
• Conduct meaningful code reviews that elevate team-wide code quality
• Facilitate sprint planning, estimation, and technical breakdowns in Agile ceremonies
• Identify and address skill gaps within the team through coaching and knowledge sharing

Stakeholder Communication & Client Engagement

• Present technical proposals, solution designs, and project status updates to clients and internal stakeholders
• Bridge the gap between business requirements and engineering execution with clear and confident communication
• Prepare and deliver well-structured technical documentation and presentations
• Engage with client teams in requirement discussions, sprint reviews, and escalation scenarios

AI Productivity & Innovation

• Explore and integrate AI-powered tools and LLM-based capabilities to improve developer productivity
• Apply basic prompt engineering techniques to enhance AI-assisted workflows
• Stay current with GenAI trends and evaluate their applicability within team deliverables
• Contribute to the CoE's R&D initiatives and knowledge base

Mandatory Skills The following are non-negotiable requirements for this role.Backend Development - At Least ONE of the Following

• .NET Core / ASP.NET C#, REST APIs, Entity Framework
• Java, Spring Boot, Spring MVC, JPA/Hibernate
• Node.js, Express / NestJS, RESTful and event-driven architectures

Full-Stack Capability

• Frontend proficiency with React, Angular, or Vue.js alongside TypeScript and HTML/CSS
• Ability to own both frontend and backend layers of an application
• Experience with RESTful API design, integration, and consumption

Cloud Expertise At Least ONE Platform

• AWS EC2, S3, Lambda, RDS, API-Gateway, IAM
• Azure App Services, Azure Functions, Azure DevOps, Azure AI Services

Communication & Interpersonal Skills

• Excellent written and verbal communication ability to articulate technical concepts clearly to diverse audiences
• Strong client-facing presentation skills comfortable with demos, solution walkthroughs, and stakeholder reviews
• Ability to lead technical conversations with both technical teams and business stakeholders

Required Technical SkillsSoftware Design & Architecture

• Solid understanding of software design patterns SOLID, MVC, Repository, Dependency Injection
• Experience with microservices and service-oriented architectures
• Ability to assess architectural trade-offs and justify decisions

DevOps & CI/CD (Working Knowledge)

• Familiarity with CI/CD pipelines GitHub Actions, Azure DevOps, or Jenkins
• Basic working knowledge of Docker and containerisation concepts
• Understanding of source control workflows with Git (branching, PRs, code reviews)

Agile & Delivery Practices

• Working experience in Agile development environments Scrum, Kanban, or SAFe
• Comfortable participating in sprint ceremonies: planning, standups, retrospectives, and reviews
• Experience with task management tools such as Jira, Azure Boards, or equivalent

GenAI & AI Productivity (Basic Understanding Required)

• Basic understanding of Large Language Models (LLMs) and their application in software products
• Exposure to prompt engineering principles and techniques
• Awareness of AI-assisted development tools such as GitHub Copilot, ChatGPT, or equivalent
• Openness to learning and applying GenAI capabilities within team workflows

 Preferred Qualifications

• Cloud certifications -AWS Solutions Architect Associate or Azure Developer Associate
• Experience with serverless architectures -AWS Lambda, Azure Functions
• Exposure to infrastructure-as-code - Terraform, CloudFormation, or Bicep
• Knowledge of security best practices -OAuth2, JWT, OWASP Top 10
• Familiarity with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB)
• Experience contributing to or leading knowledge-sharing initiatives, internal communities, or CoE activities

Technology LandscapeAreaTechnologiesBackend.NET Core / ASP.NET | Java / Spring Boot | Node.js / NestJSFrontendReact | Angular | TypeScript | HTML5 / CSS3CloudAWS (Lambda, S3, EC2, RDS) | Azure (App Services, Functions, DevOps)AI & GenAILLMs | Prompt Engineering | GitHub Copilot | Azure AI / AWS BedrockDevOpsDocker | GitHub Actions | Azure DevOps | Jenkins | GitDataSQL Server | PostgreSQL | MySQL | MongoDB | RedisTools & DeliveryJira | Confluence | Postman | Visual Studio Code | IntelliJ