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Godigit Engineering Head General Insurance System Bengaluru (India)

Digit Insurance · All India

📅 11/08/2026
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Role Overview We are looking to hire an additional Head of Engineering to strengthen our General Insurance technology leadership. This role will have end-to-end ownership of engineering delivery, working alongside the existing leadership team to drive scalable, high-quality platform outcomes. This is a delivery-focused leadership role, requiring strong hands-on expertise in building and scaling General Insurance systems in a regulated environment. Key Responsibilities Own end-to-end engineering delivery for General Insurance systems and platforms. Lead multiple engineering teams across backend, frontend, integrations, cloud, and data. Ensure predictable, high-quality delivery aligned with business and regulatory priorities. Drive platform scalability, reliability, performance, and security. Partner closely with Product, Business, and Architecture teams for execution excellence. Implement contemporary engineering practices : Microservices and cloud-native architecture. CI/CD, DevOps, SRE, and observability. Own technical debt, system stability, and release timelines. Ensure adherence to IRDAI regulations, data security, and internal risk controls. Mentor senior leaders and foster a robust ownership culture. Manage vendor partnerships and delivery commitments. Mandatory Requirements 15 to 20 years of engineering experience with leadership exposure. Strong General Insurance domain expertise (Motor, Health, Commercial, Property). Proven ownership of end-to-end delivery, beyond just architecture or people management. Experience with core insurance systems (Policy, Claims, Underwriting, Integrations). Strong technical depth in : Cloud (AWS preferred). Distributed systems, APIs, and databases. Experience managing large-scale, transaction-heavy platforms. Willingness to operate in a high-accountability, office-first setup. Positive To Have Experience in InsurTech or regulated financial domains. Exposure to event-driven architectures and data platforms. Prior experience scaling systems in high-growth settings. (ref:hirist.tech) .
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