Job Description

Technical Lead | C4 Competency Level

Centre of Excellence AI Productivity

Job Title

Technical Lead

Competency Level

C4

Team

CoE AI Productivity

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 teams engineering approach to internal and external audiences.

Key Responsibilities

Technical 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 CoEs 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 Skills

Software 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 Landscape

Area

Technologies

Backend

NET Core / ASP.NET | Java / Spring Boot | Node.js / NestJS

C4 Competency Expectations

At C4, You Are Expected To Operate As a Technical Leader Who Is Both Hands-on And Influential. The Following Behaviours Define Success At This Level

Dimension

Expected Behaviour

Technical Ownership

Independently drives full delivery of modules or workstreams with minimal supervision

Team Influence

Actively mentors others; sets quality bar through code reviews and technical guidance

Problem Solving

Resolves complex technical challenges and proposes multiple solution paths with trade-offs

Client Engagement

Leads technical presentations and discussions with clients confidently and professionally

Innovation

Proactively explores new tools and methodologies; brings ideas that improve team productivity

Agile Participation

Contributes meaningfully to sprint planning, retrospectives, and continuous improvement

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