Job Description:
We are Omnissa!
The world is evolving fast, and organizations everywhere—from corporations to schools—are under immense pressure to provide flexible, work-from-anywhere solutions. They need IT infrastructure that empowers employees and customers to access applications from any device, on any cloud, all while maintaining top-tier security. That’s where Omnissa comes in.
The Omnissa Platform is the first AI-driven digital work platform that enables smart, seamless and secure work experiences from anywhere. It uniquely integrates multiple industry-leading solutions including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance through common data, identity, administration, and automation services. Built on the vision of autonomous workspaces—self-configuring, self-healing, and self-securing—Omnissa continuously adapts to the way people work, delivering personalized and engaging employee experiences while optimizing security, IT operations, and costs. We are experiencing rapid growth—and this is just the beginning of our journey.
At Omnissa, we’re driven by a shared mission to maximize value for our customers. Our five Core Values guide us: Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value—all with the aim of achieving shared success for our clients and our team.
As a global private company with over 4,000 employees, we’re always looking for passionate, talented individuals to join us. If you're ready to make an impact and help shape the future of work, we’d love to hear from you.
As a Sr. Performance Engineer, you will become part of an experienced engineering team which is building a large-scale UEM platform as a service. You and your team will be responsible for identifying and delivering solutions to performance, scalability, efficiency, and capacity bottlenecks within UEM platform/services. Within your first 30 days of joining our team, you will not only acquire a fundamental understanding of the product's architecture and primary operational procedures, but also a strong understanding of performance baselines, workload patterns, and performance testing and monitoring tools used within the product.