About the role
Veeam 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 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 What You Will Do Production 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 Operational Excellence 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. Team Collaboration 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. What We Are Looking For Required 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. Preferred Prior on-call or incident response experience. Background in automation, performance testing, or service scalability. Familiarity with compliance or security best practices.