Tech Lead

We are seeking an experienced and innovative IT Tech Lead to join our dynamic Tech & Data team and spearhead the development of our next-generation reinsurance systems including their architecture and broader integration within global IT ecosystem.

Key duties and responsibilities

• You have strong technical leadership and architecture skills to design and manage a scalable secure and resilient Azure reinsurance platform

• You have full-stack delivery oversight experience across Java/Python/.NET backends and Angular/React frontends

• You have strong cloud and DevOps skills using Azure containers AKS/ACA and CI/CD to enable reliable releases

• You lead adoption of AI-assisted development tools and generative AI practices to improve team productivity code quality and delivery speed

• You have proven mentoring and coaching skills that build a culture of excellence innovation and continuous learning

• You have strong stakeholder collaboration skills to translate business needs with the Solution Owner BAs and end users

• You define practical patterns for integrating AI capabilities into enterprise applications while aligning solutions with architecture security and operational standards

• You have a continuous improvement mindset to enhance processes user experience stability and efficiency while reducing complexity

• You apply responsible AI and data protection principles to ensure PII standards security requirements ICS controls fairness and explainability are maintained

• You have strong problem resolution skills including leading issue triage and root-cause analysis for critical production support.

Required experience & competencies

• 7 years designing and delivering solutions ideally insurance or financial services.

• Backend Proficiency: Expert in Java Spring Boot Spring Batch C# preferably both. SQL Server or Postgres experience is preferred

• Frontend Expertise: Strong Angular or React skills with TypeScript HTML5 and CSS3

• Cloud Native: Design and deploy on Azure AKS hands-on experience required

• AI-Assisted Development: Proven experience using AI-assisted software development tools and workflows to guide engineering teams

• Generative AI Enablement: Demonstrated ability to apply generative AI to improve developer productivity solution quality and delivery efficiency

• Responsible AI: Strong understanding of responsible AI principles including data privacy fairness explainability and secure enterprise adoption

• Enterprise AI Integration: Hands-on experience defining or implementing AI capabilities within enterprise applications and delivery platform

• Industry Knowledge: Experience in insurance reinsurance or financial services domains

• Fluent in English written and spoken.