Staff Site Reliability Engineer

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. 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) #LI-Hybrid P25851_3541871 Below is the annual salary range for candidates locat