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
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You have strong technical leadership and architecture skills to design and manage a scalable, secure, and resilient Azure reinsurance platform
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You have full-stack delivery oversight experience across Java/Python/.NET backends and Angular/React frontends
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You have strong cloud and DevOps skills using Azure, containers, AKS/ACA, and CI/CD to enable reliable releases
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You lead adoption of AI-assisted development tools and generative AI practices to improve team productivity, code quality, and delivery speed
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You have proven mentoring and coaching skills that build a culture of excellence, innovation, and continuous learning
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You have strong stakeholder collaboration skills to translate business needs with the Solution Owner, BAs, and end users
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You define practical patterns for integrating AI capabilities into enterprise applications while aligning solutions with architecture, security, and operational standards
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You have a continuous improvement mindset to enhance processes, user experience, stability, and efficiency while reducing complexity
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You apply responsible AI and data protection principles to ensure PII standards, security requirements, ICS controls, fairness, and explainability are maintained
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You have strong problem resolution skills, including leading issue triage and root-cause analysis for critical production support.
Required experience & competencies
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7+ years designing and delivering solutions, ideally insurance or financial services.
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Backend Proficiency: Expert in Java Spring Boot, Spring Batch or .NET C#, preferably both. SQL Server or Postgres experience is preferred
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Frontend Expertise: Strong Angular or React skills with TypeScript, HTML5, and CSS3
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Cloud Native: Design and deploy on Azure, AKS hands-on experience required
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AI-Assisted Development: Proven experience using AI-assisted software development tools and workflows to guide engineering teams
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Generative AI Enablement: Demonstrated ability to apply generative AI to improve developer productivity, solution quality, and delivery efficiency
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Responsible AI: Strong understanding of responsible AI principles, including data privacy, fairness, explainability, and secure enterprise adoption
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Enterprise AI Integration: Hands-on experience defining or implementing AI capabilities within enterprise applications and delivery platform
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Industry Knowledge: Experience in insurance, reinsurance, or financial services domains
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Fluent in English, written and spoken.