Staff Engineer, Core Infrastructures

we are architecting a new approach to the enterprise data stack built for the AI era. The company Data Platform sets the standard for AI infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that make GPUs, AI, and other performance-intensive workloads run faster, work more efficiently, and consume less energy.
we are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds most innovative enterprises and research organizations, including 12 Fortune 50, reach discoveries, insights, and outcomes faster and more sustainably. Were passionate about helping our customers overcome complex data challenges to accelerate their innovation and help grow their businesses. We invite you to join us on this exciting journey if you share our passion.
Staff Engineer, Core Infrastructures: Key Responsibilities
The Staff Engineer for Core Infrastructures, part of our company's Core group, is a hands-on technical leadership role vital to the reliability, performance, and overall quality of our distributed data platform. This position involves direct contributions to, and technical guidance for, the team focused on developing and maintaining essential internal tools (for testing, debugging, and development) and the core build infrastructure.
Core Responsibilities:
Lead Build and Development Infrastructure Evolution: Spearhead the design, development, and adoption of our company's next-generation build system to significantly enhance developer experience and velocity. This includes improving workflows, unit/component testing, and debug/instrumentation tools.
Boost Cross-Organizational Efficiency: Collaborate closely with DevOps, QA, and development teams to ensure a unified approach that maximizes overall quality and efficiency across the engineering lifecycle.
Integrate AI for Scale: Scale the development environment by incorporating AI-driven solutions for automated test generation, intelligent workload synthesis, and proactive anomaly detection.
Technical Leadership & Mentorship: Lead global development efforts (Israel and Europe) while maintaining a strong hands-on involvement (at least 60% of time spent on development). Act as a key influencer and mentor, cultivating a high-velocity, efficiency-focused engineering culture across teams.