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're 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!
Omnissa is seeking a Staff/Senior DevOps Engineer to join the Workspace ONE SAAS Services Team. This role is pivotal in driving the reliability, scalability, Security and performance of the Workspace ONE SAAS Services through careful design, Cloud implementation, and maintenance of the CI/CD infrastructure. You will architect scalable distributed systems, cloud-native services, and AI-enabled workflows that improve end-user productivity, platform observability, and operational efficiency.
Required Qualifications
- 12+ years for Staff/Senior DevOps Engineer. Strong in DevOps, Cloud technologies, IT operations, problem-solving, and technical expertise in architecting and designing for SaaS applications and providing technical mentorship to the team.
- Deep subject matter expertise in multiple DevOps, SRE, AIOps domain, proven track record of mentorship and proven track record of driving and completing organization-wide projects.
- Supporting a global customer-facing SaaS service and working with AWS infrastructure at a global scale.
- Experience in Microsoft SQL Server and similar database systems
- Experience in Windows Server & Linux operating systems
- Strong development background in Python, Ruby or a similar language
- Experience maintaining infrastructure as code (e.g., Terraform, Ansible, Chef, Puppet)
- Solid security background covering areas such as PKI, TLS, WAF, firewalls, endpoint security, and secrets management
- Networking experience including routing, switching, DNS, proxies, load balancers, and micro-segmentation.
- Proficiency in DevOps, Agile, and CI/CD processes. Excellent communication and leadership skills.
- Hands-on experience in building and administering VMs and Containers using tools such as Docker, Nomad, and Kubernetes.
- Ability to work collaboratively across cross-functional teams and geographies.
- Familiarity with logging and monitoring technologies such as Grafana, Splunk, Syslog, Log Insight, etc.
- Experience with AI tools(Claude, Cursor or Copilot etc.), integrating AI, LLMs understanding, AI agents, or intelligent automation into enterprise products, basic familiarity with RAG architectures, vector databases, prompt engineering, and AI observability, understanding of AI security, governance, privacy, and responsible AI practices are desirable.
You Will Be Responsible For
- Drive the design and development of major architecture components. Participate in all phases of DevOps/SRE tasks, including requirements, design, coding, testing, debugging, and performance tuning.
- Monitoring and analysing system performance to proactively identify and resolve potential issues.
- Designing, developing, and implementing automation tools and solutions to reduce manual effort and improve system efficiency and reliability, including CI/CD pipelines.
- Collaborating with development teams and other stakeholders to implement reliable and scalable systems and services.
- Designing and building AI-enabled workflows and agents using various AI tools and techniques
- Managing incident response, troubleshooting complex issues, and conducting post-incident reviews
- Participating in on-call rotations to provide 24/7 support for critical production systems.
- Documenting system architecture, operational procedures, and troubleshooting guides for efficient incident response.
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