Sr. DevOps Engineer

Omnissa, LLC
Mountain View, CA, United States
19 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$176,362.0 - $293,937.0
Working hours
Regular working hours
Job source

Tech stack

Audit Trail Microsoft Azure Cloud Computing Continuous Integration Data as a Services DevOps Elasticsearch Github Python (Programming Language) Octopus Deploy Site Reliability Engineering Practices Prometheus
+7 more
Scripting Grafana Git Flow Kubernetes Infrastructure Automation Frameworks Terraform Jenkins

Job description

As a Sr. DevOps Engineer at Omnissa, you’ll play a key role in advancing the reliability, scalability, and automation of Horizon Cloud, our cutting-edge Desktop-as-a-Service (DaaS) platform. You’ll work hands-on across CI/CD, cloud infrastructure, Kubernetes, observability, and SRE practices to help modernize our DevOps ecosystem and improve developer productivity. Here is a breakdown :

  • Contribute to DevOps and SRE initiatives across Horizon Cloud’s global infrastructure
  • Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, and GitOps workflows (ArgoCD)
  • Implement observability and logging solutions using Elastic Stack, Prometheus, and OpenTelemetry
  • Manage infrastructure using Terraform and other Infrastructure-as-Code tools
  • Troubleshoot and operate Kubernetes clusters in production environments
  • Collaborate with developers to build resilient, self-healing systems
  • Maintain and evolve our Azure-based cloud infrastructure
  • Write clean, maintainable Python code to automate operations and improve developer experience
  • Contribute to infrastructure security efforts including WAF , firewalls, audit logging, and compliance

Requirements

  • Proficiency in Python or other scripting languages
  • Experience designing and optimizing CI/CD pipelines (Jenkins, GitHub Actions, ArgoCD)
  • Familiarity with GitOps workflows and tools
  • Hands-on experience with Kubernetes and Helm
  • Strong knowledge of Azure or other public cloud platforms
  • Proficiency in Infrastructure as Code (Terraform)
  • Experience with observability stacks: Elastic Stack (ELK), Prometheus, Grafana
  • Understanding of SRE principles and incident response practices
  • Solid troubleshooting skills across systems, networking, and distributed applications
  • Security-first mindset with experience in infrastructure security and compliance, Education: Bachelor’s Degree or equivalent combination of education and relevant professional experience.

Benefits & conditions

Compensation: The typical base salary for this role is between USD $176,362 - $293,937 per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation, Omnissa offers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance, paid-time off, growth opportunities, and more.

About the company

Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions-including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance-into a seamless, autonomous workspace that ada p ts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost.

Guided by our Core Values- Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value - we’re growing rapidly and committed to delivering meaningful impact. If you’re passionate about shaping the future of work, we’d love to hear from you.

At Omnissa , we are committed to maintaining a fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization. These practices are applied thoughtfully and with respect for candidate privacy.

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