Technical Lead (Full-Stack)

PVH (Tommy Hilfiger/Calvin Klein); Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Palo IT is seeking an AI-native Technical Lead to direct technical direction and drive delivery excellence for engineering teams. You will embed AI/GenAI into development practices and lead a team of engineers across frontend and backend technologies.

As a key technical authority, you will mentor engineers, enforce coding standards, and collaborate with clients to design scalable, secure solutions while advancing Gen-E2 methodologies and responsible AI adoption.

Qualifications

• 10+ years of hands-on software development experience including recent team management.
• Proven experience leading and mentoring engineering teams.
• Deep full-stack expertise with frontend and backend technologies.
• Experience with scalable, secure applications and solution architecture.

Responsibilities

• Own the technical direction and roadmap for engineering projects.
• Provide full-stack expertise and establish best practices on code quality and performance.
• Shepherd technical decision-making and provide thought-leadership.
• Provide architecture-level and code-level feedback for the team.
• Build confidence in delivery through automated testing, CI, monitoring and analytics.
• Lead and mentor engineers, manage performance and growth opportunities.
• Collaborate with clients and sales to shape proposals and technical responses.

Skills

Full-stack development

Technical leadership

Team mentoring

ReactJS

NodeJS/Java/Python

Solution architecture

Tools

ReactJS

NodeJS

Java

Python

Job description

Overview

Who We Are
Build. Scale. Sustain.
We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We are a World Economic Forum New Champion and a B Corp-certified company. We are small enough to care locally, but big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC. We are robust and resilient: 100% independent and 0 debt. We are entrepreneurs and passionate experts who invest in what we believe genuinely and work as a collective intelligence. We are positive, courageous, caring, doers and committed to excellence.

About Gen-e2TM: While the market is still AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging 16 years of digital transformation, our approach improves productivity and quality, with strong collaboration between IA generative and our talent. We now generate 95% of the entire product - code, documentation, infrastructure as code, and even design powered by GitHub Copilot. Our quality consistently exceeds traditional engineering teams. A product repository houses all artefacts, giving AI full project context. A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.

YOUR ROLE

At Palo IT, technical leads are AI-native by default and act as technical authorities for their teams and projects. As a Technical Lead (AI-Native), you will own the technical direction and project execution for engineering teams while embedding AI and Generative AI into how teams work by default. You will lead and manage a team of engineers, providing full-stack expertise, establishing best practices, and ensuring delivery excellence. You will work closely with clients, project teams, and business stakeholders to shepherd technical decision-making and provide thought-leadership through both traditional development practices and AI-augmented workflows. You will apply Palo IT\'s Gen-E2 methodology to drive quality, speed, and responsible AI adoption across projects and teams.

Key Responsibilities

• Technical Leadership & Delivery Ownership
  • Own the technical direction and roadmap for engineering projects.
  • Provide full-stack expertise to the engineering team and establish best practices on code quality and performance.
  • Shepherd technical decision-making process and provide thought-leadership.
  • Provide architecture-level and code-level feedback for the engineering team.
  • Build confidence in project delivery through automated testing, continuous integration, monitoring and analytics.
  • Monitor project progress and delivery quality across teams.
  • Ensure timelines, outcomes, and engineering standards are met.

AI-Native & Gen-E2 Leadership (Core Expectation)

• Champion AI-native ways of working across the team, including AI-assisted development, testing, and documentation.
• Define and enforce AI/GenAI best practices, including:
  • Prompt and context engineering standards
  • Output validation, guardrails, and fallback strategies
  • Code review standards for AI-generated code
• Stay current with emerging GenAI trends and tools and translate them into practical, value-driven implementations.
• Act as a technical authority and coach on Gen-E2 practices and responsible AI/GenAI adoption.

People Leadership & Team Management

• Lead and mentor a team of engineers to deliver high-quality code and projects.
• Provide technical guidance, coaching, and career development planning for team members.
• Manage performance through clear goal setting, regular feedback and reviews, and identification of growth opportunities.
• Foster a collaborative, innovative, and learning-driven culture.
• Recruit and build high-performing engineering teams.
• Collaborate with clients to understand business problems, design solutions, and lead implementation.
• Partner with Sales and Presales teams to shape proposals, solution approaches, and contribute to technical responses and estimations.
• Contribute to reusable assets, accelerators, and frameworks to scale delivery efficiency.
• Support Palo IT thought leadership through research, experimentation, and publication.

Qualifications

• 10+ years of hands-on software development experience including recent experience in client and team management.
• Proven experience leading and mentoring engineering teams.
• Deep technological expertise in fullstack development. Preferred technologies include ReactJS for frontend development and NodeJS/Java/Python for backend development.
• Experience in developing scalable, reliable, and secure applications.
• Experience with solution architecture.