Jobs at Omnissa

Design and architect cloud-native, high-scale microservice systems using Java and Spring. Build and operate cloud services (preferably AWS), apply DevOps and CI/CD practices, use AI-assisted development tools, provide technical leadership, solve complex problems, and collaborate with cross-functional teams.

As a Senior Data Scientist at Omnissa, you will lead the data science team to innovate AI/ML solutions, develop advanced analytics models, and collaborate on integrating machine learning into core platform features.

As a Sr. DevOps Engineer, you'll enhance reliability and scalability of our DaaS platform by improving CI/CD, cloud infrastructure, and Kubernetes operations.

Design, develop, and maintain application virtualization software and microservices. Implement features in App Volumes Manager (Ruby on Rails) or Java/J2EE services, troubleshoot customer escalations, produce software designs, build RESTful APIs, and follow test-driven, CI, and Agile practices to deliver high-scale, enterprise-grade solutions.

As a Staff Machine Learning Engineer, you will design, build, and deploy ML systems, optimize performance, and collaborate with teams to integrate AI solutions.

Develop and deliver new features for the Horizon Windows Agent, improve existing products, tools and processes, and resolve customer issues and escalations. Work involves C/C++ development on Windows, architecture and design of enterprise software, multithreading, OS internals, SSO, distributed systems, cloud platforms, and practical use of AI to boost productivity.

Design and implement cloud networking solutions for the Blast Protocol, redesign client-server connection establishment, improve connectivity and reliability, build automation frameworks, collaborate across teams, modernize legacy stacks, and apply cloud-native/container-based approaches.

Lead a team of site reliability engineers, enhancing system reliability and deployment automation through technical guidance and collaboration. Oversee CI/CD processes and infrastructure management.

Provide advanced customer-facing technical support for enterprise VDI solutions: diagnose and reproduce complex issues, perform root-cause analysis, collaborate with engineering/product/QA, document findings, drive product and supportability improvements, and participate in on-call rotations.

The Partner Sales Manager will oversee channel business, manage relationships with resellers, and drive pipeline growth while achieving sales quotas across teams.

Pre-sales technical lead for enterprise customers: build relationships, support sales motions, drive adoption, deliver demos, POCs, RFP/RFI responses, technical workshops, and roadmap enablement. Maintain deep product knowledge, escalate support issues, and present to technical and executive audiences to shape customers' digital workspace strategies.

Manage high-value enterprise accounts, develop C-level relationships, drive sales of SaaS solutions, and ensure customer success in territory.