WHAT YOU’LL DO
Design, implement and evolve core components of the Hazelcast runtime, including cluster services, distributed data structures and execution engines.
Work on distributed systems problems
Contribute to mechanisms for partitioning, replication, coordination and recovery in a distributed cluster.
Develop production systems
Write clean, well-tested Java code for long-running clustered systems that must remain reliable, observable and predictable in production.
Contribute to architecture
Collaborate with experienced engineers and architects to shape the design and evolution of the platform’s core runtime.
Raise the Engineering Bar
Participate in design discussions, code reviews and mentoring to maintain the high standards of the Core team.
WHAT YOU HAVE
- Strong proficiency in Java and the JVM ecosystem
- Experience building backend platforms or complex systems
- Solid understanding of concurrency and multithreaded programming
- Experience designing reliable system components and APIs
- Ability to debug and reason about complex production systems
- Experience with distributed data systems, messaging systems or databases
- Familiarity with replication, partitioning or distributed coordination
- Experience with networking, serialization or storage internals
- Experience profiling and optimizing latency-sensitive code paths
- Contributions to open-source systems or developer platforms
BENEFITS
- 25 days annual leave + Bank holidays
- Group Company Pension Plan
- Private Medical Insurance
- Private Dental Insurance
- Life Insurance
- EAP (Employee Assistance Program)
About
The world's largest leading companies trust Hazelcast and its unified real-time data platform to take instant action on streaming data. With a stream processing engine and fast data store integrated into a single solution, businesses can simplify real-time architectures for next-gen applications and AI/ML departments to drive new revenue, mitigate risk, and operate efficiently - at a low TCO. To learn more about Hazelcast, or to join our community of CXOs, architects, and developers at brands such as HSBC, JPMorgan Chase, Volvo, New York Life, Domino's, and others, visit hazelcast.comEqual Opportunities at HazelcastWe welcome people from all backgrounds, ethnicities, races, religions, gender, sexual identities, abilities, and personal circumstances, in a spirit of inclusivity and belonging.We are proud to be an equal opportunities employer, and believe we see strength in diversity. If you require any accommodation to assist you in the interview process, please submit this with your application.We offer competitive salaries with a flexible, empathetic and highly collaborative working environment. If you are motivated by the prospect of a career with a forward-thinking tech company, we'd love to hear from you.
Skills Required
- Strong proficiency in Java and the JVM ecosystem
- Experience building backend platforms or complex systems
- Solid understanding of concurrency and multithreaded programming
- Experience designing reliable system components and APIs
- Ability to debug and reason about complex production systems
- Experience with distributed data systems, messaging systems or databases
- Familiarity with replication, partitioning or distributed coordination
- Experience with networking, serialization or storage internals
- Experience profiling and optimizing latency-sensitive code paths
- Contributions to open-source systems or developer platforms
What We Do
Hazelcast is the leading in-memory computing platform company which addresses the growing demand for enhanced application performance, speed and scalability. Hazelcast’s in-memory computing platform is comprised of two core products: Hazelcast IMDG and Jet. Hazelcast IMDG is an in-memory data grid built and proven to provide the performance at scale required by the world’s largest organizations. Hazelcast Jet, is an ultra-fast, application embeddable, stream and batch processing engine capable of supporting real-time streaming data. The company also offers Hazelcast Cloud, a fully managed, low latency data layer for cloud-based workloads at any scale. Hazelcast’s customers include six of the world’s 10 largest banks and 36 of the Fortune Global 500; its technology is deployed at nearly every major credit card company, five of the world’s largest e-commerce companies and four of the largest telecommunications companies.







