veeamsoftware · Remote, United States
Skills: TypeScript, Node.js, Java, C#/.NET, Docker, CI/CD
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 Veeam is launching a global Site Reliability Engineering (SRE) function to support the rollout and operation of our new SaaS offering: the Veeam Data Cloud. SRE at Veeam is a software engineering discipline that uses code, data, and systems thinking to make product delivery safe and fast. As a Staff Site Reliability Engineer, y ou’ll lead by building reliable-by-default platforms, tooling, and patterns that product teams adopt at scale. You will serve as a hands-on technical leader within the SRE team, guiding senior engineers, influencing product development teams, and ensuring the systems we operate are built to be reliable, scalable, and observable from the ground up. You will drive strategic initiatives, mentor others in the practice of SRE, and help define architectural best practices across our platform. This role is pivotal in aligning teams, enforcing high standards, and scaling SRE principles globally within Veeam. What You Will Build & Own Reliability features as productized code : libraries, services, and controllers (e.g., deployment safety guards, rate‑limiters, circuit breakers, load‑shedding adapters, back‑pressure controls) that product teams import and extend. Observability platform : define the data model and implement telemetry pipelines (metrics + logs + traces), SLI/SLOs, and error‑budget poli…
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