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, you’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 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).
What you’ll do day‑to‑day
- 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.
Minimum qualifications
- 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.
- Comfortable with a follow‑the‑sun on‑call model (8 hour daytime rotations) and coverage.
Nice to have
- 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.
How we work
- Engineering > firefighting: we prevent repeated incidents by changing code, not adding toil.
- Data‑driven: SLIs/SLOs and error budgets guide release decisions and reliability investments.
- Enablement, not gatekeeping: we build paved roads and self‑service so product teams move faster and safer.
- Blameless learning: incidents are inputs to design; we optimize for fast detection, fast rollback, and fast learning.
On‑call & working hours
- Standard shifts, aligned to business hours in a 3×8h global rotation.
- Rotations are designed for fairness (predictable schedules, protected focus time, and compensatory benefits per local policy).
Why Join Veeam?
- Be a core architect in the rollout of Veeam’s first global SaaS offering—the Veeam Data Cloud.
- Help shape a modern, engineering-driven SRE practice from the ground up.
- Influence long-term reliability and architecture across a global product portfolio.
- Work in a collaborative environment with engineering leaders who value strategic thinking, hands-on problem solving, and customer empathy.
- Enjoy competitive pay and benefits, flexible work arrangements, and a team culture built on learning, ownership, and impact.
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
