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
Sales Engineer
March 8
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
• Drive technical sales, manage PoV engagements, and secure technical wins. • Act as trusted advisor for clients, ensuring alignment with technical and business objectives. • Collaborate across teams to enhance market adoption and customer success.
🎯 Requirements
• 5+ years of experience in pre-sales, sales engineering, or solution consulting. • Proven experience leading and project-managing PoV engagements from scoping to completion. • Hands-on experience with Apache Ignite or GridGain is highly preferred. • Strong technical skills in Java, Kubernetes, SQL, cloud platforms (AWS, Azure, GCP), and distributed computing. • Excellent communication, leadership, and project management skills, with the ability to engage both technical and executive-level stakeholders. • Ability to translate technical solutions into business value and align with customer goals.
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