Jobs at Omnissa

Owns product strategy and execution for Omnissa Horizon’s remote user experience. Responsibilities include customer and partner research, competitive analysis, requirements and use-case development, UX improvements, engineering collaboration, product delivery, launch readiness, technical marketing content, and revenue enablement. The role requires strong analytical, technical, communication, and prioritization skills, plus experience with end-user software and AI tools.

Designs and develops architecture components for the Workspace ONE Intelligence Platform using Java, Spring, AWS, and open-source technologies. Responsibilities include full-cycle software development, API design, performance tuning, code and design reviews, technical leadership, and on-call support. The role requires expertise in cloud services, microservices, high-scale systems, DevOps, CI/CD, and AI-assisted development tools.

Design, develop, and integrate AI-powered application features, including LLM-based capabilities, automation workflows, and intelligent user experiences. Build scalable backend services, APIs, microservices, and distributed systems that integrate AI/ML models. Implement observability, monitoring, and logging; participate in architecture discussions and code reviews; and drive engineering initiatives from conception through delivery.

Advance the reliability, scalability, and automation of Horizon Cloud’s global infrastructure. Build CI/CD pipelines, manage Azure and Kubernetes environments, implement observability with Elastic Stack, Prometheus, Grafana, and OpenTelemetry, and automate operations with Python and Terraform. Apply SRE, incident response, infrastructure security, and compliance practices while troubleshooting distributed systems. Provide technical leadership, mentor team members, and drive improvements to resilience, developer productivity, and self-healing capabilities.

Leads the Frontline Engineering team responsible for complex customer escalations across the Workspace ONE UEM platform. Builds and mentors engineers, drives root-cause analysis and resolution, improves escalation processes, partners with Product, Quality, Support, and TPM teams, and translates escalation trends into product and testing improvements. Advances AI-assisted diagnostics, automation, and telemetry analysis while tracking operational metrics and reducing recurring customer issues and engineering interruptions.

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.

Senior DevOps engineer responsible for designing and implementing cloud infrastructure for UEM SaaS (commercial and federal). Build and maintain IaC and configuration (Terraform, Ansible), CI/CD pipelines, deployment automation, containerized workloads, monitoring, and vulnerability remediation. Ensure cloud security controls and compliance with FedRAMP, NIST, SOC 2, ISO and PCI standards while supporting production reliability and scalability.

Lead and mentor a site reliability engineering team to improve reliability, automation, CI/CD, and cloud-native infrastructure. Participate in hands-on design, architecture reviews, incident troubleshooting, define SLOs, reduce operational toil through IaC and automation, and deliver scalable SaaS services.

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

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.

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.

Leads technical pre-sales for digital workspace solutions, partnering with sales to manage customer technical relationships, qualify opportunities, deliver demos, presentations, workshops, and RFP responses. Advises IT executives and practitioners on enterprise architecture, Windows desktop and application management, digital transformation, and product value. Develops account plans, identifies expansion opportunities, coordinates cross-functional resources, addresses competitive threats, and supports customer adoption and outcomes.

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

Drafts, reviews, and negotiates customer agreements covering software licensing, cloud-hosted services, and professional services. Advises Deal Management and Sales teams on contract modifications, commercial risks, contract interpretation, customer concerns, and disputes. Collaborates with legal, sales, and cross-functional stakeholders, independently resolving routine matters while escalating novel or higher-risk issues. Requires strong legal drafting, negotiation, communication, risk mitigation, and prioritization skills.