Staff Site Reliability Engineer

Okta authenticates, authorizes, and provisions millions of users a day. Internally, TDI Infrastructure Engineering runs the platforms that our own engineering and business teams build on — hosted on AWS, increasingly Kubernetes-native, and expanding fast to support AI-driven internal workflows. We're looking for a Staff SRE to help us evolve Site Reliability Engineering from a traditional operations model into a true Platform as a Service (PaaS) organization.

As a Staff Site Reliability Engineer on our Dublin/EMEA team, you will be the senior-most technical voice on the ground — setting architectural direction for our Kubernetes platform, driving the hardest reliability and scaling problems to resolution, and partnering with Staff/Principal engineers on our US and India teams to keep our global platform strategy coherent. You'll report to the Senior Manager, Site Reliability Engineering, and work alongside a Senior SRE and the rest of the Dublin team.

What you'll be doing

• Owning the architecture and evolution of our Kubernetes platform for the Dublin/EMEA team — cluster strategy, multi-tenancy, networking, and security posture — in close coordination with counterparts in the US and India
• Leading the technical design and rollout of self-service platform capabilities, golden paths, and self-healing patterns that let internal teams ship and operate workflows without deep platform expertise
• Driving the platform's readiness to host AI-driven internal workflows reliably at scale — model serving, GPU scheduling, and orchestration infrastructure
• Taking ownership of the hardest, highest-ambiguity reliability problems: complex production incidents, capacity and scaling challenges, and cross-system failure modes
• Participating in a follow-the-sun on-call rotation shared with SRE peers in the US and India, and driving root-cause resolution and postmortems for the incidents you own
• Setting technical standards for SLIs/SLOs, error budgets, and on-call practice, and holding the team accountable to them
• Improving SDLC processes for infrastructure-as-code, including CI/CD pipeline maturity and change/release management
• Mentoring engineers across the team and raising the technical bar through design reviews, architecture discussions, and hands-on pairing
• Partnering with architects, security, and product engineering teams to align infrastructure decisions with the business's reliability, security, and delivery needs
• Representing the Dublin/EMEA team in global platform architecture discussions, working as a peer with Staff/Principal-level engineers in the US and India

What you'll bring to the role

• 8+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering, with a track record of staff-level technical leadership
• Deep, hands-on expertise in Kubernetes at production scale — architecture, multi-tenancy, networking, security, and day-2 operations
• Experience running large-scale internal infrastructure platforms in a public cloud, preferably AWS
• Strong expertise in cloud-native architectures, infrastructure-as-code (Terraform), and CI/CD pipelines
• Experience building or operating infrastructure that hosts AI/ML or agentic workflows — model serving, GPU scheduling, or orchestration frameworks
• Deep experience with observability platforms and monitoring tools (Grafana, Splunk, APM, or equivalent) in a large-scale environment
• Demonstrated ability to influence technical direction across teams and geographies without formal authority
• Effective verbal and written communication skills, with experience mentoring engineers and driving technical alignment across distributed teams
• Computer Science degree or related field, or equivalent experience

Extra credit if you have experience in any of the following

• • Building internal developer platforms (IDPs) with a "platform as a product" mindset
  • Hands-on experience with AI agent orchestration, vector databases, model routing, or inference optimization infrastructure
  • Multi-cloud experience (AWS plus Azure or GCP)
  • Service mesh technologies (Istio, Linkerd) or GitOps tooling (ArgoCD, Flux) in production Kubernetes environments
  • Kubernetes certifications (CKA, CKS, CKAD) or equivalent cloud certifications
  • Experience managing or administering an enterprise-scale SCM platform (GitHub, GitLab, or equivalent)
    
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