AI Native Tech Lead/Architect

Who We Are

Building the AI-first frontier enterprise.

We are a global technology consultancy with a trademarked, AI-first approach—Gen-e2™. It redefines how enterprises build digital products and transform their organizations with AI. 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 (10 countries, 450+ experts from 50+ nationalities)

• We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.

• We are robust and resilient (100% independent, 0 debt, founded 2009)

• We are AI-native professionals who invest in what we believe and work as a collective intelligence

• We are positive, courageous and deliver at the leading edge.

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.

Key Responsibilities

• Lead the design and evolution of technology 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 REST APIs, including versioning, contract-first practices (OpenAPI), backward compatibility, and robust error handling.

• Define and enforce engineering standards: clean code, testing strategy, code reviews, observability, security practices, and CI/CD.

• Mentor and coach engineers, fostering a strong delivery culture and continuously raising the engineering bar.

• Partner with Product, QA, UX, and stakeholders to refine scope, assess technical risks, shape the roadmap, and deliver incrementally.

• Encourage AI-first engineering practices (Copilot/GenAI) with proper governance: quality gates, security, traceability, and testing.

Who You Are

• 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 17/21/25+) or .NET, with solid testing practices (e.g., JUnit/Mockito or .NET equivalents) 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 a secure-by-design mindset.

Nice to have / Strong plus

• 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, and 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

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

What We Offer

• Stimulating working environments

• Unique career path

• International mobility

• Internal R&D projects (including Gen-e2™)

• Knowledge sharing

• Personalized training via PALO IT Academy

• Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.