Senior Platform Engineer (Cloud Workloads)
Veeam · San Jose, CA · Development, Data Protection 1001129
About this role
Veeam is hiring a senior-level Platform Engineer in the software engineering function based in San Jose, CA. The posting calls out experience with Python, HTML/CSS, Bash, AWS. Compensation is listed at $158,400–$294,100 per year.
- Role
- Platform Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Jose, CA
- Department
- Development, Data Protection 1001129
More roles at Veeam
Job description
from Veeam careersVeeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
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.
What You’ll Do
- 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