Site Reliability Engineer

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  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.

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, you’ll lead by building reliable‑by‑default platforms, tooling, and patterns that product teams adopt  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.

• 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 policies; ship SDKs/CLI/plugins that let teams declare SLOs in code and gate releases.
• Change safety toolchain
  : progressive delivery primitives (canary, blue/green, feature flags), automated rollback, and release validation - delivered as reusable services/operators and CI/CD integrations.
• Resilience automation
  : fault‑injection APIs, chaos experiments, traffic shadowing, and load/perf harnesses baked into pre‑prod and prod pipelines.
• Golden‑path platform components
  :
  Terraform/Pulumi modules, Kubernetes operators, Helm charts, and reference microservice templates (authn/z, config, tenancy, telemetry) with paved‑road docs.
• Incident learning systems
  : post‑incident automation (context capture, timeline, action tracking), and code changes that remove classes of failure (not just runbooks).
• Write high‑quality code in one or more of:
  Go, Type Script/Node.js, C#, or Java. Design APIs, write tests, and ship iteratively.
• Lead designs for distributed, multi‑region services (initially on Azure) with a focus on failure modes, graceful degradation, and operability.
• Partner with Staff/Principal peers across product and platform to align on reliability standards and drive cross‑team adoption.
• Instrument systems deeply (metrics, logs, traces) and automate detection/response; keep alerting actionable.
• Lead complex incidents during your daytime; drive blameless learning and land systemic fixes in code.
• Mentor senior engineers; raise the bar via design reviews, ADRs, and pair programming.
• 8+ years in software engineering for cloud‑based products; significant time designing/operating distributed systems at scale.
• Strong proficiency in at least one backend language (C#, Java, Go, Type Script/Node.js) and in writing production‑grade services/libraries.
• Deep hands‑on with Kubernetes
  , IaC (Terrafo…