AI Coach Tech Lead/Architect

Who We Are

Building the AI-first frontier enterprise.
We are a global technology consultancy with a trademarked, AI-first approach

• 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.
  

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 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+) with solid testing practices (e.g., JUnit/Mockito ) and performance awareness.
• 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.