Senior Production Engineer, Veeam

• 3–5 years of experience in software engineering, site reliability, production engineering, or senior technical support roles operating distributed systems
• Experience with log analysis and advanced troubleshooting
• Basic programming experience (e.g., JS, Go, Typescript, Java, or C#)
• Experience deploying and troubleshooting systems on a public cloud platforms (Azure preferred)
• Familiarity with observability tooling (e.g., Elastic, Prometheus, Grafana, Open Telemetry)
• Understanding of distributed systems, networking, automation and CI/CD

Desirable

• As a Production Engineer, you will play a key role in supporting reliable, scalable systems for Veeam's Data Cloud platform
• You will own production efficiency, automation and documentation projects, contribute to reliability and observability improvements, and own or participate in the full incident lifecycle — from on-call response, through mitigation, to leading post-incident reviews and driving improvements across support and development teams
• You will work as part of a team of skilled engineers, collaborating with support and development as a bridge and driving force for change
• You will communicate with product managers and security professionals to ensure our services are production-ready, performant, and fault-tolerant, and that we rapidly incorporate user feedback into improvements
• Own complex and escalated production issues from support, and drive long-term fixes in collaboration with engineering, including code, configuration, and architecture changes
• Proactively identify and address risks that are identified during the problem solving process
• Lead production efficiency initiatives, develop and maintain processes, run-books and knowledge base integrity
• Define, build and maintain production monitoring systems
• Continuously improve alerting to minimize noise and ensure actionable, well-documented runbooks
• Define and maintain SLIs/SLOs for key services, and use error budgets to guide operational and product decisions
• Turn manual processes into automation
• Own and drive post-mortem review process and actions arising from incident analysis
• Collaborate with support organization as an escalation point and feed back knowledge & improvement recommendations
• Collaborate with developers throughout the lifecycle of changes, from design through rollout and patch delivery, ensuring safe deployments and efficient incident mitigation
• Participate in design reviews to ensure services are operable with minimal manual intervention in production (automation, safe deployments, clear runbooks), and share learnings through documentation and feedback