Job Application for Staff Site Reliability Engineer at Okta

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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 located in Ireland. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/irl.

The annual base salary range for this position for candidates located in Ireland is between:

€92.000 - €126.500 EUR

The Okta Experience

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Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

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Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

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Staff Site Reliability Engineer

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Extra credit if you have experience in any of the following

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