Job Description:
We are Omnissa.
The world is evolving quickly, and organizations everywhere—from global enterprises to educational institutions—are under pressure to deliver flexible, work-from-anywhere experiences. They need secure, scalable, seamless digital work environments that empower employees and customers to access applications from any device, on any cloud. That’s where Omnissa comes in.
The Omnissa Platform is the first AI-driven digital work platform designed to deliver smart, seamless, and secure work experiences from anywhere. We uniquely integrate industry-leading solutions in Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance—all unified through shared data, identity, administration, and automation services. Built on the vision of autonomous workspaces—self-configuring, self-healing, and self-securing—Omnissa continuously adapts to how people work, optimizing user experience, IT efficiency, security posture, and cost.
As a global private company with over 4,000 employees, we’re growing rapidly. If you're passionate about building AI systems that operate at massive scale and shape the future of work, we’d love to meet you.
What is the opportunity?
Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. You will join the AI Platform Team, the group responsible for building foundational AI capabilities across the Omnissa product ecosystem.
As a Senior Data Scientist, you will lead and innovate within the data science team to drive significant advancements in our AI/ML and data analytics capabilities. This is a hands-on role, and you will be expected to develop AI/ML-based solutions, work closely with cross-functional teams to solve complex business problems, and contribute to the company’s vision through advanced analytics, machine learning, and artificial intelligence.
You’ll work closely with engineering and product teams to operationalize models across our cloud-scale environment while driving best-in-class ML engineering practices.
Responsibilities : - As a Senior Engineer, you will bring expertise to the role
below.
Required Skills:-
8 to 13 yrs years of hands-on experience in Security / Enterprise software development highly proficient in Python and working knowledge of at least one other programming language such as Java or C++ and hands-on experience building large-scale distributed systems.
BS or MS in Computer Science or equivalent technical training.
Track record of architecting, designing reusable, high-performing, and scalable systems.
Experience with and solid understanding of SQL or NoSQL data stores.
Excellent oral and written communication skills.
A high degree of "ownership"—the ability to determine what needs to be done and make it happen.
Passion for collaborative development and support of quality hosted software services.
Proficiency in Linux/Unix operating systems.
Preferred Skills:
• Knowledge of LLMs, AI agents, and Agentic frameworks is a huge plus.
• Experience developing microservices.
• Experience with the Spring Framework.
• Experience deploying a global service in AWS.
• Experience with big data technologies.
• Experience working on live enterprise-grade scale services in the cloud.
• Understanding of deployment issues in a complex environment (security, networking, load balancers, service dependencies, disaster recovery, etc.)
• Security and compliance consciousness.
• Experience with asynchronous programming.
• Experience with
event-driven architecture (EDA)
and publish/subscribe (pub/sub) messaging patterns.
• Experience with continuous integration and continuous delivery (CI/CD) practices and tools.
What is the opportunity?
This role offers the opportunity to architect and build enterprise-grade, large-scale distributed security systems for a global leader in digital workspace solutions. Your work will directly impact software utilized by every Fortune 500 company, shaping how organizations securely deliver and manage applications, desktops, and data across any device or platform.
It is a highly collaborative environment designed for engineers who love solving complex problems, scaling cloud infrastructure, and actively exploring the next wave of technology—including incorporating LLMs and agentic workflows into modern enterprise ecosystems.
