Digit Insurance - Head - Engineering

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:

1. Microservices and cloud-native architecture.

2. 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:

- 15-20 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:

1. Cloud (AWS preferred).

2. 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.