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# Senior Platform Engineer (Cloud Workloads)

- **Company:** Veeam Software Corporation
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $172,800.0 - $320,900.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, JIRA, Microsoft Azure, Bash Shell, Software as a Service, Continuous Integration, Data Infrastructure, Elasticsearch, Github, Python (Programming Language), Pattern Recognition, Windows PowerShell, Reliability Engineering, Cloud Services, Kusto Query Language, Salesforce.Com, Pulumi, Scripting, Cloud Platform System, Infrastructure Automation Frameworks, Bicep, Cosmos DB, Azure AKS, Kibana, Veeam, Terraform, Key Vault, Servicenow
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f9db41d9d15ff9c4

## About the Role

* 5+ years of experience in cloud platform engineering, SRE, or infrastructure roles supporting commercial SaaS products
 * Deep hands-on experience with Elastic Stack: Building dashboards, writing KQL/Query DSL, managing Fleet
 * Proven experience operating and troubleshooting distributed, multi-tenant workloads on Azure and/or AWS
 * Strong understanding of Azure cloud services: AKS, Entra ID, Key Vault, Service Bus, Cosmos DB, Private Endpoints, etc.
 * Experience with incident response in production cloud environments, including runbook development and post-incident review
 * Experience with IaC tools (Azure Bicep, Terraform) and CI/CD pipelines (Azure DevOps, GitHub Actions)
 * Strong scripting skills in Bash, Python, or PowerShell
 * Ability to work cross-functionally with SRE, product, and customer-facing support teams

## Description

We are looking for a Senior Platform Engineer to join the Workload team within the Veeam R&D Department. You will own critical observability infrastructure, drive incident response maturity, and help scale proactive support capabilities as operational accountability., * Design, build, and maintain observability pipelines using the Elastic Stack (Elasticsearch, Kibana, Fleet) across Azure and AWS workloads

 * Develop and own SLO/SLI dashboards and error budget reporting for BaaS platform services
 * Respond to and lead incident response for distributed, multi-tenant cloud workloads; own runbook creation, maintenance, and continuous improvement
 * Build and refine proactive support tooling, including pattern analysis, tenant correlation dashboards, and baseline deviation alerting, to reduce reactive support burden
 * Manage and maintain Elastic Fleet agent policies, enrollment health, and log streaming pipelines across Azure and AWS worker fleets
 * Partner with SRE, R&D, and Proactive Support teams to close observability gaps, including tenant identification workflows and admin portal integrations

Technologies we work with

 * Elastic Stack - Elasticsearch, Kibana, Elastic Fleet, KQL, Query DSL
 * Azure Kubernetes Service (AKS), Azure Container Apps, VMs
 * Azure Security - Entra ID, Managed Identities (user/system assigned), App Registrations, Key Vault
 * Infrastructure as Code - Azure Bicep, Terraform, or Pulumi
 * CI/CD - Azure DevOps, GitHub Actions
 * ITSM tooling - ServiceNow, Salesforce, Jira, Incident.io (for tenant and incident workflows)


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