
SaaS âą Finance âą Telecommunications
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.
51 - 200 employees
âïž SaaS
đž Finance
đĄ Telecommunications
September 20

SaaS âą Finance âą Telecommunications
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.
51 - 200 employees
âïž SaaS
đž Finance
đĄ Telecommunications
âą Design and write code at the core of a distributed database, rethinking Ignite SQL execution and exploiting CPU/GPU parallelization âą Design and develop enhancements for query execution runtime: research, validate ideas, design and implement query engine optimizations âą Develop enhancements for distributed SQL engine based on Apache Calcite for Apache Ignite and GridGain: implement planner optimization rules, update cost functions, enhance query code generation âą Contribute to data storage format and transactional protocol development to speed analytical queries and optimize storage usage and processing times âą Influence and contribute to the open source Apache Ignite project âą Mostly write C/C++ and also contribute to Java components âą Build and lead the team to further exploit native CPU and GPU capabilities for query execution
âą Expert knowledge of C/C++ âą Experience with concurrent programming âą Understanding of query execution pipeline (query planning and execution) âą Hands-on experience with vectorized CPU execution (SIMD, SSE, AVX) âą 5+ years experience as a Software Engineer âą Ability to read, understand and present academic research (SIGMOD, VLDB) âą Mostly C/C++ development; ability to contribute to Java components (no prior Java required) âą Strong plus: experience building distributed systems/algorithms and distributed/NoSQL/NewSQL databases âą Experience with ClickHouse or RocksDB âą Experience building database query execution pipelines âą Experience building database storage engines âą Experience with Ignite/GridGain âą Experience with Docker, Kubernetes and/or public Cloud (AWS, GCE, Azure) âą Experience with GPU development (CUDA or OpenCL)
âą Remote work
Apply NowSeptember 20
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