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
Senior Software Engineer
December 8, 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
• Work within an enthusiastic and proactive scrum team with senior-level specialists • Develop efficient and high-throughput solutions for our Control Center and Nebula products • Participate in product and architecture discussions • Lead activities, starting from the design phase up to deployment to production • Participate in the release process
🎯 Requirements
• 4+ years of software development experience with a strong focus on application development using Java • Experience with web technologies: Spring Boot / Spring Security / Spring Web MVC / Spring WebFlux • Solid knowledge of JavaScript , HTML and CSS • Experience with Angular • Experience with message brokers and messaging protocols • Good understanding of algorithms and data structures • Understanding principles of distributed system • Superb written and verbal communication skills English — upper-intermediate or higher • The following will be a strong plus: • Experience with Apache Ignite / GridGain • Experience with Kubernetes and/or public Cloud (AWS, GCE, Azure, etc.) • Knowledge of internal architecture of any DB • Experience with building distributed systems and algorithms • Deep knowledge of concurrency in Java and Java Memory Model and/or of concurrency model in other programming systems
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