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Role Description

We're looking for a Staff SRE who can own the reliability, scalability, and operational excellence of our platform. You'll work at the intersection of infrastructure and software engineering - building the systems, tooling, and practices that let our team ship confidently and operate at scale.

• Set technical direction for infrastructure and reliability - evaluate approaches, make architectural decisions, and establish standards.
• Own and evolve our Kubernetes-based infrastructure on GCP.
• Build and maintain CI/CD pipelines, deployment tooling, and release processes.
• Maintain and simplify our build system (Bazel) for faster, more reliable builds across the org.
• Define and instrument SLIs/SLOs; build dashboards and alerting that surface real problems.
• Drive incident response, post-mortems, and reliability improvements.
• Partner with product engineers to design systems that are reliable and operable from day one.
• Contribute to our engineering culture around AI-augmented development - sharing patterns, workflows, and lessons learned.

Qualifications

• Significant experience in SRE, platform engineering, or infrastructure roles at scale.
• Demonstrated technical leadership: you've driven significant infrastructure or reliability initiatives, not just executed on them.
• Deep hands-on expertise with Kubernetes (GKE preferred) and GCP services.
• Strong programming skills - Go preferred.
• Experience with build systems (Bazel strongly preferred) and CI/CD tooling.
• Practical experience with AI coding assistants as part of your regular workflow - not just experimentation, but daily use.
• Ability to critically evaluate AI-generated code and infrastructure configs: you know when to trust it, when to revise it, and when to write it yourself.
• Track record of improving reliability through automation, observability, and good engineering practices.
• Comfort with ambiguity and ownership; we're a small team where engineers drive decisions.

Nice to Have

• Background in security, malware analysis, or threat detection.
• Experience with large-scale data systems (BigTable, Spanner, BigQuery).
• Deep proficiency in Go.

Benefits

• Hard technical problems with real security impact.
• Small team, huge impact, high autonomy, low process overhead.
• Opportunity to collaborate with world-class experts in cybersecurity.
• Work remotely in the USA or Canada, or use our co-working space in Santa Clara to collaborate with teammates in-person.