Tech Lead

We are seeking an experienced and innovativeIT 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 acrossJava/Python/.NET backends and Angular/React frontends

• You have strong cloud and DevOps skills usingAzure, 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 inJava Spring Boot, Spring Batch or .NET 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 inEnglish, written and spoken.