AI First Tech Lead / Architect

About the role

Build. Scale. Sustain. PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company. We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities) We are robust and resilient (100% independent and 0 debt) We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence We are positive, courageous, caring, doers and committed to excellence About Gen-e2 While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents: We now generate 95% of the entire product - code, documentation, infrastructure as code, and even design - with GitHub Copilot. The quality consistently exceeds the output of our best traditional engineering teams. A product repository houses all product artefacts, giving AI full project context for higher-quality generation. A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability. With Gen-e2, we deliver end-to-end products 2-3× faster than traditional approaches, while raising the bar for engineering excellence. Your Role As a Tech Lead Full Stack with a strong software architecture mindset, you will lead the technical delivery of digital products end-to-end hands-on when needed while guiding teams toward scalable, secure, and maintainable solutions. Lead the design and evolution of technological solutions, ensuring scalability, performance, security, and maintainability. Drive architectural decisions and trade-offs (e.g., microservices vs. modular monolith), applying patterns such as DDD , Clean/Hexagonal Architecture , and event-driven approaches when relevant. Design, build and evolve APIs (REST), including versioning, contract-first practices (OpenAPI), backward compatibility, and robust error handling. Define and enforce engineering standards (clean code, test strategy, code reviews, observability, security practices, CI/CD). Mentor and coach engineers, fostering a strong delivery culture and raising the engineering bar across the team. Partner with Product, QA, UX and stakeholders to refine scope, assess technical risks, shape the roadmap, and deliver incrementally. Encourage AI-first engineering practices (e.g., Copilot/GenAI) with proper governance: quality gates, security, traceability, and testing.

Requirements

• 10+ years of software engineering experience with proven technical leadership (Tech Lead, Lead Engineer, or strong senior with leadership responsibilities).
• Strong backend expertise in Java (ideally 17/25+) or . net, with solid testing practices (JUnit/Mockito) and performance awareness.
• Strong frontend expertise in Angular (ideally 12+) with TypeScript , RxJS, frontend architecture, and performance best practices.
• Proven ability to design and communicate software architecture : microservices/modular monoliths, Clean/Hexagonal , SOLID principles, integration patterns, and API design.
• Strong engineering fundamentals: CI/CD, Git workflows, code review practices, observability (logs/metrics/traces), and secure-by-design mindset.
• Kafka/RabbitMQ, event-driven architectures, CQRS, saga/outbox patterns.
• Docker/Kubernetes, Terraform/IaC, and cloud experience (AWS/Azure/GCP).
• OAuth2/OIDC, JWT, and security best practices (OWASP).
• Experience in high-traffic systems, performance tuning, caching strategies.
• Experience working in AI-assisted engineering environments and setting quality/security guardrails.
• Excellent communication and stakeholder management skills; able to influence decisions and align teams.
• Professional English (B2+ preferred) for global collaboration and documentation.
• AI-Native Engineering (Core Expectation)
• Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:
• Code scaffolding and refactoring
• Code generation and optimisation
• Test-cases and documentation generation
• Build applications through AI-driven development practices , including:
• AI-assisted debugging and troubleshooting
• Intelligent code completion and pattern recognition
• Automated documentation generation
• Apply prompt engineering best practices for reliable, repeatable engineering outcomes.
• Validate GenAI output (determinism checks, guardrails, fallback logic).
• More About PALO IT
• We're eager to adapt to change, learn from our experiences and move to meet our planet's urgent needs. We are continuously taking action to:
• Become a clima

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