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Tier-1 brand and metro locations increase candidate density, but seniority and specialized leadership needs limit competition.
Role demands deep distributed-systems and engineering leadership experience, making background fit moderately sensitive across industries.
Explicit 12+ years, leadership tenure, and required distributed-systems experience make shortlisting highly strict.
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Manage and lead software engineering teams in delivering AI applications by collaborating with cross-functional teams including data scientists, machine learning engineers, UX experts, and product managers.
Drive execution, make critical product decisions, and ensure teams are aligned with priorities and resources, functioning as Scrum Master and technical mentor.
Participate in architecture discussions, hiring, and occasionally contribute to coding to maintain technical proficiency and team effectiveness.
Related technical degree required.
12+ years of software engineering experience with 3–5 years leading sizeable teams on fast-paced technical projects.
Experience with large-scale distributed systems, microservices, distributed architecture, and Agile/Scrum methodologies.
Proven skills in hiring, mentoring, engineering best practices including coding standards, code reviews, SCM, CI, build, testing, and operations.
Experienced leader capable of managing cross-functional engineering teams delivering AI-driven software products in a fast-paced environment.
Strong strategic mindset with ability to drive execution, foresee issues proactively, and influence multi-disciplinary teams and stakeholders.
Technically proficient participant in architecture and product decisions with a focus on technical excellence and team empowerment.