GridGain
GridGain is a Unified Real-Time Data Platform created by the original developers of Apache Ignite. It provides enterprises with a simplified and highly optimized data architecture that supports extreme speed, massive scale, and high availability for their data ecosystems. GridGain combines stream processing, a distributed in-memory data grid, and colocated compute to deliver data processing and analytics with ultra-low latencies. It is designed to seamlessly integrate both streaming data in-motion and historical data at-rest, enabling complex analytical and transactional workloads. The platform supports deployment across on-premises, public cloud, hybrid-cloud, and multi-cloud environments. GridGain is widely used in industries such as financial services, telecommunication, transportation, and logistics for real-time risk management, smart decisioning, and high-performance online transactional processing (OLTP), among other use cases.
In-Memory Computing • In-Memory Data Grid • Apache Ignite • Stream Processing • High Performance Transaction Processing
Software Developer in Test
December 11, 2024
GridGain
GridGain is a Unified Real-Time Data Platform created by the original developers of Apache Ignite. It provides enterprises with a simplified and highly optimized data architecture that supports extreme speed, massive scale, and high availability for their data ecosystems. GridGain combines stream processing, a distributed in-memory data grid, and colocated compute to deliver data processing and analytics with ultra-low latencies. It is designed to seamlessly integrate both streaming data in-motion and historical data at-rest, enabling complex analytical and transactional workloads. The platform supports deployment across on-premises, public cloud, hybrid-cloud, and multi-cloud environments. GridGain is widely used in industries such as financial services, telecommunication, transportation, and logistics for real-time risk management, smart decisioning, and high-performance online transactional processing (OLTP), among other use cases.
In-Memory Computing • In-Memory Data Grid • Apache Ignite • Stream Processing • High Performance Transaction Processing
📋 Description
• GridGain is looking for a Software Developer in Test to join our growing QA team. • Develop the internal testing framework (written in Java and partly open source). • Create new test utilities and internal services. • Automate routine tasks to simplify life for yourself and your colleagues.
🎯 Requirements
• At least 3 years of experience in test automation using Java. • Deep understanding of testing processes. • Unit testing and refactoring skills. • Knowledge of shell scripting languages (bash, Windows batch or powershell). • Experience with Git , IntelliJ IDEA. • Ability to work with Linux , Mac, Windows operating systems. • Basic knowledge of SQL (you can write small queries with multiple joins and filter out unnecessary data). • English — upper-intermediate or higher. • The following will be a strong plus: Experience with NoSQL and/or distributed databases. Especially if it was Apache Ignite™. Experience in testing or deep working with distributed systems. Willingness to deal with complex cases, even when others have already refused. Ability to explain complex ideas to yourself and colleagues from R&D in simple words. Expert level of working with Java ecosystem.
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