Staff Site Reliability Engineer (SaaS)

Location: Remote, United States. Standard shifts align with business hours in a 3×8h global rotation.

Total target compensation: $172,400–$441,500 USD depending on U.S. geographic zone.

Company

Data resilience and security software company developing a global SaaS offering for protecting organizational data and AI workloads.

What you will do

• Build reliability features, reusable services, controllers, SDKs, and tooling adopted by product teams.
• Define observability data models and implement metrics, logs, traces, SLI/SLO workflows, and error-budget policies.
• Develop progressive delivery, automated rollback, release validation, fault injection, chaos experiments, and performance tooling.
• Design and operate distributed, multi-region services initially running on Azure, with graceful degradation and strong operability.
• Lead complex incidents, automate detection and response, and implement systemic fixes in code.
• Mentor senior engineers and influence architecture through design reviews, ADRs, and cross-team initiatives.

Requirements

• 8+ years of software engineering experience with cloud-based products and distributed systems at scale.
• Production-grade backend development in at least one of C#, Java, Go, or TypeScript/Node.js.
• Hands-on experience with Kubernetes, Terraform or Pulumi, and CI/CD systems such as GitHub Actions, GitLab, or ArgoCD.
• Practical expertise in observability, metrics, tracing, logging, SLOs, and error budgets.
• Ability to lead cross-team initiatives, influence architecture, and deliver measurable reliability outcomes.
• Comfort with daytime on-call rotations and follow-the-sun coverage.

Nice to have

• Experience building reliability platforms, progressive delivery systems, chaos tooling, or validation frameworks.
• Multi-cloud experience or advanced Azure networking and traffic management.
• Performance engineering at scale and security or compliance-aware delivery.

Culture & Benefits

• Engineering-focused approach centered on preventing repeated incidents through code changes.
• Data-driven reliability investment using SLIs, SLOs, and error budgets.
• Blameless incident learning, paved roads, and self-service enablement for product teams.
• Unlimited paid time off, paid holidays, volunteer hours, and parental leave.
• Medical, dental, vision, mental health, retirement matching, and additional wellness and support programs.
• Learning libraries, mentoring, workshops, and professional development events.