AI coach Tech Lead/Architect

Who We Are

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Building the AI-first frontier enterprise.

We are a global technology consultancy with a trademarked, AI-first approach —Gen-e2TM. 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 Software architect with a strong AI coaching , 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).