Product Engineering

We are seeking a hands-on Lead, Product Engineering with a strong product mindset to lead the development and evolution of consumer-facing digital products.

This role requires deep technical expertise, leadership capability, and ownership across the full stack—application and infrastructure. The ideal candidate has built and scaled real-world consumer products, demonstrates strong engineering judgment, and is comfortable challenging product requirements to deliver better solutions.

This is a hands-on leadership role requiring active involvement in architecture, coding, and engineering practices—not just team management.

Responsibilities:

• Lead end-to-end product engineering for consumer-facing and backend systems
• Take ownership of existing platforms and drive improvements in scalability, reliability, and performance
• Contribute hands-on to application development, architecture design, and infrastructure (cloud & IaC)
• Define and enforce coding standards, design principles, and engineering best practices
• Collaborate closely with Product, Design, and Business teams to refine requirements and challenge assumptions
• Build, mentor, and manage high-performing engineering teams
• Drive adoption of cloud-native architectures, DevSecOps, and automation-first practices
• Ensure systems meet security, compliance, and regulatory requirements (especially in a banking environment)
• Own architectural decision-making and drive long-term platform scalability, resilience, and engineering strategy
• Ensure production stability, operational excellence, and incident ownership for critical systems

AI-Augmented Engineering & Vibe Coding Culture

At HugoBank, we recognize that AI-assisted development is now a core part of modern engineering workflows.

We support the responsible use of AI-assisted development tools such as GitHub Copilot, Google Gemini, and Claude to enhance productivity, accelerate development, and improve developer experience.

However, we emphasize that:

• AI tools are accelerators, not substitutes for engineering thinking
• Engineers must fully understand, validate, and own all generated code
• Strong fundamentals in system design, debugging, and problem-solving remain essential

As a Lead, you will:

• Define best practices for responsible AI-assisted development
• Guide teams on effective and secure use of AI tools
• Ensure AI improves quality, maintainability, and security—not just speed