About the Role
We are seeking a versatile and strategic Head of Engineering to lead software, data, and platform development across multiple business verticals. This is a unique, cross-cutting engineering leadership role designed for a hands-on technical strategist who can build scalable web, mobile, and enterprise platforms while driving our core Data & AI/ML architecture.
If you thrive in high-impact environments, possess a deep modern full-stack foundation, and can seamlessly bridge the gap between enterprise software development and advanced data/AI solutions, this role is for you.
Key Responsibilities
- Engineering Strategy & Delivery: Drive end-to-end technical execution across diverse verticals, ensuring scalability, performance, and security for web, mobile, and enterprise applications.
- Architecture & Infrastructure: Architect and optimize multi-cloud infrastructure on AWS and/or Azure, enforcing modern full-stack engineering standards and robust microservices/API patterns.
- Data & AI Leadership: Lead the integration of modern Data Engineering (pipelines, data platforms, analytics) and AI/ML capabilities (predictive models, GenAI/LLM integrations) across key product offerings.
- Cross-Vertical Collaboration: Partner closely with executive stakeholders, product heads, and cross-functional teams to translate complex business needs into technical strategy and scalable software products.
- Team & Talent Management: Scale, mentor, and lead high-performing, cross-functional engineering teams; foster a culture of technical excellence, continuous learning, and fast iteration.
Key Requirements & Qualifications
Must-Have Skillset
- Technical Breadth: Proven background as a Full-Stack Software Engineer with strong mastery of modern web frameworks, mobile development ecosystems (iOS/Android or cross-platform), and complex enterprise applications.
- Cloud Infrastructure: Deep hands-on experience designing, deploying, and managing modern cloud architectures on AWS and/or Azure.
- Data & AI/ML Expertise: Demonstrated experience building modern data architectures (data pipelines, platforms, big data infrastructure) alongside practical experience deploying AI/ML/GenAI solutions into production environments.
- Leadership & Scale: Proven experience managing senior engineers, managers, and cross-functional technical teams driving cross-vertical or multi-product delivery.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
- Experience architecting multi-tenant, enterprise-grade platforms.
- Hands-on knowledge of modern data technologies (e.g., Snowflake, Databricks, Spark, Kafka) and modern AI frameworks.
What We Offer
- Modern Tech Stack: Work with state-of-the-art cloud, full-stack, data, and machine learning tools without legacy constraints.
- Comprehensive benefits, flexible working culture, and professional growth opportunities.
