Staff Site Reliability Engineer

Veeam Software is a data and AI trust company specializing in data resilience and security posture management. The Staff Site Reliability Engineer will help build and scale the global SRE function supporting the Veeam Data Cloud by developing reliable platforms, observability tooling, resilience automation, and change-safety systems. The role also provides technical leadership, mentors engineers, leads strategic initiatives, and drives cross-team adoption of reliability standards.

Responsibilities:

• 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, TypeScript/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

Requirements:

• 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, TypeScript/Node.js) and in writing production‑grade services/libraries
• Deep hands‑on with Kubernetes, IaC (Terraform or Pulumi), and CI/CD (e.g., GitHub Actions, GitLab, ArgoCD)
• Practical observability expertise (metrics, tracing, logging) and experience turning SLOs/error budgets into engineering workflows
• Ability to lead cross‑team initiatives, influence architecture, and deliver measurable reliability outcomes
• Built reliability platforms (SLO/SLO policy engines, progressive delivery, chaos/validation) used by multiple teams
• Multi‑cloud or advanced Azure networking/traffic management (cross‑region failover, DNS, gateway, service mesh)
• Performance engineering at scale (workload modeling, cost/perf tradeoffs, regression detection)
• Security/compliance aware delivery (SOC 2/ISO/SOx/FedRAMP patterns) as code