Site Reliability Engineer (SRE) IT Platform Engineering

Overview

is an independent global leader in digital work platforms, originating from the former VMware End User Computing business and now operating under KKR ownership. Omnissa empowers organizations to deliver seamless, flexible, and secure digital work experiences to employees everywhere. Our platform supports over 26,000 customers worldwide, including 7 of the top 10 Fortune 500 enterprises.

Our Purpose Is Clear

Guided by decades of innovation and strengthened by significant investment in AI, open APIs, and next generation digital workspace technologies, Omnissa is building the industry’s first autonomous workspace experience—a platform that simplifies operations for IT while unlocking higher productivity for employees.

Platform Engineering at Omnissa (IT Organization)

The Platform Engineering team within Omnissa’s internal IT organization is responsible for architecting, operating, and continuously improving our enterprise grade infrastructure platforms. Our mission is to deliver highly resilient, scalable, and secure systems that power Omnissa’s internal operations and customer facing services.

Our Environment Includes

Core Platforms

• On-premise cloud environments built on:
• VMware Cloud Foundation (vCF)
• Apache CloudStack
• Proxmox Virtualization Stack
• Kubernetes based orchestration for containerized workloads
• Opensource S3 compatible object storage systems
  
  

We have developed extensive Observability Infrastructure that monitors all Omnissa internal services that is managed automatically leveraging:

• Prometheus
• Grafana
• Loki
• Ansible
  
  

We have developed an internal AI powered incident diagnosis and first response platform, leveraging cutting edge open technologies including:

• Ollama
• n8n
• Various Model Context Protocol (MCP) servers
  
  

These systems help us reduce mean time to detect (MTTD) and mean time to-resolve (MTTR) through automated analysis, enrichment, and intelligent triage.

Role Overview — Site Reliability Engineer (SRE)

We are seeking a highly skilled SRE with deep expertise in Observability, particularly in:

• Automation
• Grafana
• Loki
• Prometheus
• Development/Scripting
  
  

This role is critical to maintaining the reliability, performance, and operational integrity of our platforms. You will support both planned and unplanned workstreams, collaborating closely with engineering, incident management, and service owners.

The role includes participation in an on-call rotation, including nights and weekends, to ensure continuous coverage for mission critical systems.

Key Responsibilities

Observability Engineering

• Design, deploy, and maintain Loki, Grafana, Prometheus, and integrated observability pipelines.
• Contribute to new monitoring initiatives by developing new monitoring checks for services.
• Maintain and improve our automation workflows that manage the infrastructure.
• Develop and refine AI workflows for incident analysis and auto-remediation.
• Continuously enhance logging, metrics, and tracing coverage across services.
  
  

• Ensure high availability, capacity planning, and performance optimization across platforms.
• Drive reliability improvements through automation, SLIs/SLOs, and root cause analysis.
• Partner with development and platform teams to embed reliability best practices.
  
  

• Participate in the global on-call rotation, including weekends.
• Leverage our AI driven incident diagnosis tools (Ollama, n8n, MCP) to accelerate response.
• Manage unplanned work such as production incidents, outages, high urgency escalations and participate in post – mortem reviews.
• Coordinate post incident reviews and continuous improvement initiatives.
  
  

• Utilize the Atlassian toolset (Jira, Confluence, Opsgenie, etc.) for structured task, change, and incident management.
• Manage planned maintenance, releases, and platform improvements.
• Collaborate with cross functional teams to prioritize backlog and operational tasks.
  
  

• Support and enhance internal clouds based on vCF, CloudStack, and Proxmox.
• Operate Kubernetes clusters and improve the reliability of containerized workloads.
• Maintain S3 compatible storage platforms used across the enterprise.
  
  

• Familiarity with at least one scripting/programming language.
• Strong hands-on expertise with:
• Grafana, Loki, Tempo (or similar tracing systems), Prometheus
• Experience with Configuration Management tools (e.g., Ansible/Saltstack).
• Proficiency in operating modern Linux-based distributed systems.
• Experience supporting large scale, highly available architectures.
• Familiarity with Kubernetes, CI/CD pipelines, and Infrastructure as Code.
• Comfortable with on-call participation and incident leadership.
• Experience with Atlassian tools (Jira, Confluence, Opsgenie).
• Proficiency in Linux & Windows.
  
  

• Exposure to Ollama, N8N, or similar AI orchestration/automation tooling.
• Experience with S3 storage internals or open source object stores (e.g., SeaweedFS, Ceph).
• Understanding of virtualization stacks such as Proxmox, vSphere/vCF, or CloudStack.
• Background in SRE driven culture, including SLIs/SLOs and error budgeting.