Emre Onder is a seasoned software architect, entrepreneur, and a prominent figure in the open-source community, best known as a Co-founder and former CTO of Hazelcast, Inc. With over 15 years of experience, he has deep expertise in distributed systems, in-memory computing, Java, and scalable enterprise software. Emre played a crucial role in shaping Hazelcast's technical vision and product development, transforming it from an idea into a leading in-memory computing platform used by major enterprises worldwide. He is passionate about building high-performance, resilient systems and fostering innovation within the tech community. His work has significantly contributed to advancements in how organizations manage and process large-scale data.
Emre Onder's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Hazelcast in 2008, a pioneering company in the in-memory data grid (IMDG) and stream processing space, and served as its Chief Technology Officer, driving its technical strategy and product innovation.
Spearheaded the architecture and development of Hazelcast's core open-source and enterprise products, establishing it as a globally recognized leader in distributed caching and computing.
Frequently speaks at international technology conferences (e.g., JavaOne, QCon, Devoxx) sharing insights on distributed systems, Java, and in-memory computing, and is a strong advocate for open-source software.
Authored numerous articles, blog posts, and contributed to publications on topics related to distributed computing, big data, and software architecture, influencing developers and architects globally.
Stanford University Graduate School of Business - Year 1993
Stanford University - Year 1985
Deutsche Schule Istanbul / Alman Lisesi - Year 1977
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
VAST Data is revolutionizing data storage and management with its Universal Storage platform, designed to handle the demands of AI, deep learning, and other data-intensive applications. Their innovative DASE (Disaggregated and Shared Everything) architecture offers exabyte-scale, high-performance, and cost-effective solutions, simplifying data access and accelerating insights from vast datasets for modern enterprises. VAST aims to eliminate storage tiers and provide a single, scalable system for all data types.
Get verified emails, phone numbers, and LinkedIn profile details
Discover contacts with similar roles, seniority, or companies
Uncover insights like skills, work history, social links, and more
Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view.
Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.
Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away.
Thousands of companies, including, are just a search away.