Can Gencer is a seasoned engineering leader with 14 years of experience building and scaling distributed systems and real-time data platforms, currently directing Next‑Gen SIEM engineering at CrowdStrike. Previously he led cross‑product query and observability infrastructure at Datadog, growing a global org from one team to 50+ engineers and supporting a 20x traffic increase for petabyte‑scale workloads. As a long‑time Hazelcast leader and one of the primary authors of the open‑source Hazelcast Jet stream processor, he blends hands‑on backend contributions to core data structures and snapshot management with executive strategy for cloud and platform teams. He emphasizes adaptive, culture‑first leadership and has repeatedly unified product portfolios to refocus organizations on real‑time processing. Based in Copenhagen, he pairs an MSc in Bioinformatics with deep practical experience delivering low‑latency, high‑throughput systems for finance, observability, and cloud applications.
14 years of coding experience
19 years of employment as a software developer
BSc Computer Science, BSc Computer Science at Sabanci University
MSc Bioinformatics, MSc Bioinformatics at Chalmers University of Technology
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
Role in this project:
Back-end Developer
Contributions:16 reviews, 809 commits, 125 PRs in 6 years 2 months
Contributions summary:Can's commits primarily involve modifying existing code, deleting unused events, and introducing new features related to data processing, suggesting a focus on back-end development. They made changes to the internal data structures of the project and introduced code related to snapshot management. These changes involved working directly with core data structures and classes, and improving the performance of the system.
Contributions summary:Can primarily contributed to the Hazelcast Jet code samples repository. Their work involved fixing bugs and improving the codebase by renaming methods and updating dependencies. They also refactored code, including renaming classes and adjusting method parameters. Furthermore, the user was involved in updating examples, and the API.
javahazelcastin-memoryscalability
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Can Gencer - Director Of Engineering at CrowdStrike