EU remote
Golang Software Engineer
About this role
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on.
So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure is expanding beyond traditional storage to help organizations understand, govern, and activate their data in the AI era. As part of Everpure’s Data Management business, 1touch brings capabilities in data discovery, classification, contextualization, enrichment, and security posture management across SaaS, on-premises, cloud, and hybrid environments.
Together, we are building an intelligent data-management platform that helps enterprises turn complex, distributed data into trusted, governed, and AI-ready information. Joining this team means contributing to a high-impact transformation at the intersection of data, cloud, security, and artificial intelligence. As a Senior Golang Engineer , you’ll build core backend capabilities that enable enterprises to discover, understand, and protect sensitive data across complex environments.
You’ll solve challenging engineering problems around scale, concurrency, performance, and reliability , with meaningful ownership over how our platform evolves. Working closely with Engineering, Product, Architecture, and DevOps/SRE, you’ll help expand the platform to new data sources and increasingly complex customer environments. WHAT YOU'LL DO Design and build high-performance backend systems in Go that operate reliably across complex enterprise environments.
Solve challenging engineering problems around concurrency, distributed systems, scalability, performance, and fault tolerance . Own capabilities end-to-end — from technical design and implementation through testing, deployment, production troubleshooting, and continuous improvement. Expand the platform by integrating new data sources, storage systems, cloud services, and enterprise platforms . Influence platform architecture and technical direction, making pragmatic engineering decisions that support increasing scale and complexity.