Jobs at Omnissa

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

Lead the Oracle Fusion product roadmap for financial modules (GL, FA, AR, Cash Management) and Sales Compensation, manage backlog and sprints, gather and document requirements, design solutions across Oracle R2R/Varicent/ERP, configure and integrate systems, support production issues, and create reports/dashboards using SQL and Oracle BI/OTBI.

Create hands-on technical enablement content and deliver presentations for customers, partners, and internal teams. Author guidance for the TechZone platform, learn and test end-user computing technologies (VDI, hypervisors, cloud, Windows/Linux), and support product adoption. Collaborate cross-functionally and travel occasionally (10–20%).

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 Workplace Manager will oversee strategic planning, operations, and optimization of office spaces, ensuring they enhance productivity and reflect company values, while managing vendor relations and workplace programs.

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.

Design and build architecture components for a cloud-based workspace platform. Lead full lifecycle development, drive API design, mentor peers, support on-call duties, and improve CI/CD and DevOps practices using AWS and modern engineering tools.

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 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.

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.

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

Support sales by structuring and pricing complex SaaS deals, drafting and negotiating contracts, performing financial analysis, enforcing pricing and revenue compliance, streamlining approvals, and collaborating with Sales, Finance, and Legal to accelerate deal closures.

Own and evolve global partner programs (Reseller, MSP, GSI, Distribution). Design incentives, governance, and adoption strategies; scale operations through automation and data insights; coordinate cross-functional stakeholders; manage vendors and budgets; resolve complex operational issues and report program performance to leadership.

Manage state and local government relations, build relationships with government stakeholders, and develop strategies to expand business opportunities across key states.

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