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Okta

Senior Site Reliability Engineer

Okta is hiring a Senior Site Reliability Engineer in Dublin, Ireland. It pays €76k-€105k a year and Level rates it ; you can apply on Okta.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions AI agents among its tools and skills.
  • Level classes it as a senior role.
  • Okta has 392 other open roles on Level.
  • Posted in the last few days.

AI in this role

ai-agents

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 Senior SRE to help us evolve Site Reliability Engineering from a traditional operations model into a true Platform as a Service (PaaS) organization.

As a Senior Site Reliability Engineer on our Dublin/EMEA team, you will build and operate the Kubernetes-based platform that hosts internal workflows across the business, with a growing focus on hosting AI-driven workflows reliably in production. You'll report to the Senior Manager, Site Reliability Engineering, and work closely with a Staff SRE and the rest of the Dublin team, as well as SRE peers in the US and India.

What you'll be doing

  • Building, operating, and improving our Kubernetes platform — cluster management, networking, security posture, and day-2 operations
  • Developing self-service capabilities, golden paths, and automation that let internal teams onboard and operate workflows with less platform expertise required
  • Supporting the platform's readiness to host AI-driven internal workflows reliably at scale
  • Troubleshooting and resolving production issues, including participating in a follow-the-sun on-call rotation shared with SRE peers in the US and India, and driving postmortems for incidents you own
  • Contributing to and upholding reliability practices — SLIs/SLOs, error budgets, and operational runbooks
  • Improving CI/CD pipelines and infrastructure-as-code practices, including change and release management
  • Building and maintaining observability and monitoring coverage for the systems you own
  • Mentoring junior engineers and contributing to design and code reviews
  • Collaborating with the Staff SRE and Dublin team to align local implementation with the broader global platform strategy

What you'll bring to the role

  • 5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering
  • Strong hands-on experience with Kubernetes in production — deployment, networking, security, and troubleshooting
  • Experience operating large-scale internal infrastructure platforms in a public cloud, preferably AWS
  • Solid experience with infrastructure-as-code (Terraform) and CI/CD pipelines
  • Exposure to or interest in building infrastructure that hosts AI/ML or agentic workflows
  • Experience with observability platforms and monitoring tools (Grafana, Splunk, APM, or equivalent)
  • Comfortable working in a fast-moving, evolving environment with ambiguity around process and tooling
  • Effective verbal and written communication skills, with the ability to collaborate across time zones
  • Computer Science degree or related field, or equivalent experience

Extra credit if you have experience in any of the following

  • Exposure to internal developer platform (IDP) concepts or "platform as a product" thinking
  • Hands-on experience with AI agent orchestration, vector databases, model routing, or inference infrastructure
  • Multi-cloud experience (AWS plus Azure or GCP)
  • Service mesh technologies (Istio, Linkerd) or GitOps tooling (ArgoCD, Flux)
  • Kubernetes certifications (CKA, CKS, CKAD) or equivalent cloud certifications
  • Experience administering an enterprise-scale SCM platform (GitHub, GitLab, or equivalent)

    #LI-Hybrid
    P25853_3541873

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:€76.000—€104.500 EUR

The Okta Experience

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

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.

How we rate this

Senior Site Reliability Engineer at Okta rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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