Senior Site Reliability Engineer

The role

You will own specific services, tools, or components from design through production operation. You will build reliability software using AI coding agents and work with product teams to turn operational problems into software and system improvements.

What you will do

• Build and ship production-ready reliability software using AI coding agents
• Develop reusable libraries, services, controllers, Kubernetes components, infrastructure modules, and service templates
• Build observability capabilities including telemetry pipelines and error-budget tooling
• Design and implement safe-release capabilities like canary deployments and rollback mechanisms
• Create fault-injection, failure-recovery, and load tests
• Design and improve distributed services on Azure
• Use metrics, logs, and traces to diagnose issues and validate releases
• Respond to and lead incidents during assigned coverage
• Review code and technical designs
• Document significant decisions and shared components

Required qualifications

• 4+ years of software engineering experience for cloud-based products
• Practical experience delivering software with AI coding agents
• Ability to explain, debug, and modify production code in at least one backend language, such as Go, TypeScript/Node.js, C#, or Java
• Experience designing or operating distributed systems
• Hands-on experience with Kubernetes
• Hands-on experience with infrastructure as code using Terraform
• Hands-on experience with automated build, test, and deployment pipelines
• Experience using metrics, logs, and traces to investigate service behavior
• Ability to independently deliver an agreed improvement
• Ability to participate in the regional on-call coverage arrangements

Nice to have

• Experience building reusable reliability tools adopted by other engineering teams
• Experience with Azure networking, cross-region failover, DNS, gateways, or service meshes
• Experience with load testing and performance regression detection
• Experience reducing cloud costs and understanding their contribution to cost of goods sold (COGS)
• Experience incorporating security and compliance requirements into software and delivery automation

Benefits

• 26 paid days off annually
• 4 extra global VeeaMe Days for self-care
• 24 paid volunteer hours annually through Veeam Cares
• Paid parental, maternity, and paternity leave
• Fully covered family medical plan, dental, rehab, and vaccinations
• Life, critical illness, and disability insurance
• Employer pension contribution via PPK
• Monthly Edenred allowance of 450 PLN for meals
• MultiSport card fully covered by Veeam
• Up to 12 free therapy sessions annually
• Legal and financial advice
• Opportunities to learn and grow through on-demand libraries, mentoring, workshops and learning events

About the company

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient. Headquartered in Seattle, Veeam protects over 550,000 customers worldwide.