Forward Deployed Engineer

Striim, (pronounced “stream” with two i’s for integration and intelligence), is a unified data integration and streaming platform that connects clouds, data, and applications with unprecedented speed and simplicity to deliver the right data at the right time. Striim is used by enterprise companies to monitor events across any environment, build applications that drive digital transformation, and leverage true real-time analytics to provide a superior experience to their customers. At our company, we believe and expect all of our employees to operate as one with unlimited potential and dignity. About the Role We are seeking a Forward Deployed Engineer (FDE) to report to our Field CTO within the Engineering organization. This is a highly strategic and tactical, customer-facing role that sits at the intersection of customer success and technical excellence. You will partner with enterprise clients across the entire customer lifecycle—from pre-sales discovery and solution architecture through post-sales adoption, retention, expansion, and long-term success. While customer-facing, this is fundamentally a technical engineering position. You will spend 40-50% of your time writing code, architecting solutions, debugging complex distributed systems, and building production-grade integrations. The remaining time is spent collaborating with customers and internal teams to ensure technical success and business outcomes. You will serve as both a principal-level technical leader and a trusted customer advocate, ensuring our platform delivers measurable business value while shaping the future direction of our product. You will work closely with Sales & Field Engineering, Product, and Technical Account Management teams to architect and deliver complex, real-time data solutions across modern cloud and AI-driven ecosystems. This role requires up to 50% travel and a strong commitment to building deep, long-lasting customer relationships through consistent engagement. Responsibilities Technical Leadership & Implementation Lead end-to-end implementation of real-time data pipelines using CDC, Kafka, and related technologies; architect multi-cloud data solutions (AWS, GCP, Azure) Build custom connectors, integrations, and production-grade systems using Java and Python; architect APIs and data pipelines Design and optimize Kubernetes deployments and containerized data workloads for performance, cost, and reliability Debug and resolve complex technical issues across distributed systems, including backend, infrastructure, and data layers Create reusable Java/Python libraries, frameworks, and solution accelerators to extend impact across customer implementations Conduct technical code reviews, architecture assessments, and deep-dive technical sessions with customer engineering teams Customer Partnership & Solution Architecture Serve as the primary technical partner to customers across the full lifecycle, from pre-sales discovery and solution architecture through post-sales adoption, expansion, and renewal Partner with Sales and Field Engineering to design and architect complex, enterprise-grade solutions tailored to customer needs Build and maintain trusted, long-term relationships with customer stakeholders through ongoing engagement, including on-site meetings and industry events Act as the technical point of escalation for customer challenges, ensuring timely resolution and continued success Design solutions for performance, scalability, and reliability in production environments at enterprise scale (100GB+/day throughput) Cross-Functional Collaboration & Product Influence Act as the voice of the customer, capturing insights and translating them into clear, actionable product requirements Collaborate with Product and Engineering teams to influence roadmap priorities and future feature development Translate business needs into highly technical concepts, bridging communication between customers and internal teams Partner cross-functionally with Sales,…