GoDigit - Engineering Head - General Insurance System

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 modern 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 strong 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.
  
  

Good To Have

• Experience in InsurTech or regulated financial domains.
• Exposure to event-driven architectures and data platforms.
• Prior experience scaling systems in high-growth environments.
  
  

(ref:hirist.tech)