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Metro locations, recognised global brand, and common Engineering Manager title increase applicant competition.
Core backend, cloud, and leadership skills transfer across industries, but insurance domain preference adds moderation.
Explicit 15-20 years, mandatory Java/Azure and leadership experience create high filtering for candidates.
Lead and grow a high-performing engineering team building enterprise-grade platforms using Java, .NET, and Azure with an AI-first approach.
Embed AI tooling into the entire software development lifecycle, including AI-assisted development, intelligent test generation, and automated code review.
Own end-to-end delivery of scalable enterprise applications, including sprint quality, release velocity, technical debt trade-offs, and architectural decisions alongside senior technical leaders.
15-20 years of software engineering experience with at least 3 years in a leadership role; exceptional candidates with fewer years but strong AI expertise are considered.
Strong hands-on experience in Java development and solid experience with Azure platform.
Experience actively using and embedding AI coding tools (e.g., GitHub Copilot, Claude) into team workflows, not just piloting them.
Degree in Computer Science, Engineering, or equivalent.
Experienced leader comfortable with hands-on technical engagement including code review and architectural decision-making in agile, high-delivery environments.
Deep understanding and clear articulation of AI-native engineering practices and how to standardize them across teams.
Background or exposure to regulated industries such as insurance, fintech, or banking is a plus but not mandatory.