
Enterprise • SaaS • Hardware
Riverbed Technology is a provider of network and digital experience performance solutions that help organizations illuminate and accelerate every digital interaction. It offers software, cloud services, and appliance-based products for application and network performance monitoring, WAN optimization, and digital experience management so enterprises can deliver seamless performance for customers and employees.
November 25
🌲 North Carolina – Remote
🦀 Maryland – Remote
+2 more states
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer

Enterprise • SaaS • Hardware
Riverbed Technology is a provider of network and digital experience performance solutions that help organizations illuminate and accelerate every digital interaction. It offers software, cloud services, and appliance-based products for application and network performance monitoring, WAN optimization, and digital experience management so enterprises can deliver seamless performance for customers and employees.
• Design and develop next-generation analytical services that reveal unique, actionable insights into application and user performance. • Create robust, scalable solutions capable of storing, analyzing, benchmarking, and correlating massive datasets with security, availability, and maintainability in mind. • Collaborate in a dynamic, forward-thinking team where your contributions fuel customer success and innovation in the EUE space.
• Bachelor’s or Master’s degree in a technical field, or equivalent military/career experience that proves your technical expertise. • Minimum 4 years of coding expertise in Go, Python, or a similar modern language. • Self-motivated and capable of high performance under minimal supervision • Exceptional communicator with excellent organization and collaboration skills. • Experience with AI coding tools (such as Claude, Cursor, or GitHub Copilot). • Creative problem solver with a passion for innovative design, analytics, and rigorous testing. • Proficient in building and maintaining CI/CD pipelines. • Experience in data analytics or data science. • Comfortable working with SQL databases to power intelligent insights and reporting. • Familiarity with modern deployment technologies like Kubernetes, Docker, and cloud-native services
• Flexible workplace policies • Employee resource groups • Learning and development resources • Career progression pathways • Community engagement initiatives • Global employee wellness programs
Apply NowNovember 25
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