PALO IT
Linkedin · Posted 1mo ago
AI Native Tech Lead (cloud-native Azure solutions)
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Indexed description
Who We AreBuilding 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.
- Define and maintain the technical architecture for Azure-based solutions, including AKS, ensuring best practices and alignment with business objectives.
- Establish technical standards in areas of development, security, deployment, and observability.
- Lead critical technical decisions related to scalability, performance, and resilience of applications.
- Oversee the correct implementation of CI/CD, Infrastructure as Code, and DevOps practices.
- Ensure compliance with best practices regarding security, data protection, and access control.
- Mentor team members and promote a culture of continuous improvement and technical excellence.
- Strong experience with Azure Cloud technologies, including Azure Kubernetes Service, Azure Container Registry, Application Gateway, IdentityServer, and Azure DevOps (must).
- Proficient in Cloud Native Architecture and Microservices strategies (must).
- Knowledgeable in Zero Trust Security, OAuth2 / OpenID Connect, advanced CI/CD practices, and API design (must).
- Familiarity with Infrastructure as Code, preferably Terraform (Desirable).
- Knowledge of Azure Monitor, Log Analytics, Application Insights, FinOps, Chaos Engineering, and SRE practices (Desirable).
- Excellent leadership skills and ability to communicate effectively with both technical and non-technical audiences (must).
- Strong negotiation and strategic decision-making skills, especially under uncertainty (must).
- 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).
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
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