Use Riverbed's AI-driven observability platform to unlock exceptional digital experiences. Enhance performance, resolve IT issues, and deliver seamless experiences effortlessly. Backed by Accel and Lightspeed.
About the role
Riverbed, the leader in AIOps for observability, helps organizations optimize their users’ experiences by leveraging AI automation for the prevention, identification, and resolution of IT issues. With over 20 years of experience in data collection and AI and machine learning, Riverbed’s open and AI-powered observability platform and solutions optimize digital experiences and greatly improve IT efficiency. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 3+ years of professional software development experience
- Solid proficiency in Java and relational databases (PostgreSQL or similar)
- Experience with cloud infrastructure, ideally AWS
- Understanding of distributed systems / service-to-service communication patterns
- Strong debugging skills and a knack for figuring out why things break
- Comfortable working across the stack when needed — backend internals through client-side behavior
More about this role
Riverbed, the leader in AIOps for observability, helps organizations optimize their users’ experiences by leveraging AI automation for the prevention, identification, and resolution of IT issues. With over 20 years of experience in data collection and AI and machine learning, Riverbed’s open and AI-powered observability platform and solutions optimize digital experiences and greatly improve IT efficiency. Riverbed also offers industry-leading Acceleration solutions that provide fast, agile, secure acceleration of any app, over any network, to users anywhere. Together with our thousands of market-leading customers globally – including 95% of the FORTUNE 100 – we are empowering next-generation digital experiences. Learn more at riverbed.com
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We build the platform that deploys and manages software modules and agents (Windows services) on customer endpoint machines at massive scale as well as some of the backend services that supports them. The system handles incremental rollouts and log collection across a huge device fleet, and it keeps growing.
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