Senior Site Reliability Engineer

Okta

Dublin

On-site

EUR 76,000 - 105,000

Full time

14 days+

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Benefits offered by this job

Equity
Bonus
Healthcare

Job summary

United States Digital Space LLC in Dublin/EMEA is seeking a Senior Site Reliability Engineer to evolve a Kubernetes-based platform that hosts internal, AI-driven workflows. You will collaborate with the Dublin team and global SRE peers to deliver scalable, reliable infrastructure, reporting to the Senior Manager SRE.

You bring 5+ years in SRE/Platform/Infra, strong Kubernetes in production, IaC with Terraform, and experience in large public clouds (AWS).

Qualifications

  • 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

Responsibilities

  • Build, operate, and improve the Kubernetes-based platform for internal workflows.
  • Develop self-service capabilities, golden paths, and automation for onboarding and operation.
  • Ensure readiness to host AI-driven workflows at scale in production.
  • Troubleshoot production issues and participate in follow-the-sun on-call rotations.
  • Contribute to and uphold reliability practices - SLIs/SLOs, error budgets, runbooks.
  • Improve CI/CD pipelines and IaC practices, including change and release management.
  • Build and maintain observability and monitoring coverage for the systems you own.
  • Mentor junior engineers and collaborate with Dublin and global SRE teams.

Skills

Kubernetes
AWS
Terraform
CI/CD
Observability
Platform Engineering

Education

Computer Science degree or related field

Tools

Terraform
GitOps (ArgoCD/Flux)
Grafana
Splunk

Job description

**Secure Every Identity, from AI to Human

**Identity is the key to unlocking the potential of AI. the company 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.

the company 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)

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, the company 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.the company.com/irl.

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

€76.000-€104.500 EUR

The the company Experience
  • Supporting Your Well-Being
  • Driving Social Impact
  • Developing Talent and Fostering Connection + Community

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.

the company 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 pleaseuse this Form to request an accommodation.

Notice for New York City Applicants & Employees: the company 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, pleaseclick here to view our full NYC AEDT Notice.

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