About this role
Job Title: Senior Solutions Architect (Pre-Sales / Real-Time Data) Employment Type: Full Time Seniority Level: Professional / Senior Executive Job Description: At Eve Count, our mission is to unleash the power of real-time data with infrastructure built for infinite scale and speed. We are seeking a technically sharp, customer-focused Solutions Architect to serve as the technical backbone of our sales team. In this high-impact role, you will partner closely with Account Executives to win business by translating complex technical architectures into clear value for our customers. You will serve as the strategic advisor throughout the sales process—from initial technical discovery to running complex Proof of Concepts (POCs). Your expertise in distributed systems and cloud infrastructure will be the key to proving that Eve Count's platform can handle the extreme scale our clients require. Key Responsibilities: • Serve as the primary technical expert during the sales process, running deep-dive architecture workshops with customer engineering teams. • Design, build, and present highly customized Proof of Concepts (POCs) that demonstrate Eve Count's sub-millisecond latency and high-throughput capabilities. • Identify areas for architectural improvement and recommend best practices for system integration and cloud-native deployments. • Collaborate with internal Product and Engineering teams to feed field requirements and customer insights back into the product roadmap. • Train and enable internal teams and external partners on the technical aspects of the Eve Count platform. Requirements: • 5+ years of experience in a highly technical pre-sales, solutions architecture, or software engineering role within the data infrastructure space. • Deep expertise in NoSQL, Relational, Distributed, or MPP database architectures. • Strong coding skills in at least one language (e.g., Go, Java, C/C++, Python). • Hands-on experience with major public cloud providers (AWS, Google Cloud Platform, Azure) and containerized deployments (Docker, Kubernetes). • Excellent customer-facing presentation skills, with the ability to explain complex distributed systems to both C-Level executives and backend developers.
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