Senior Manager, Site Reliability Engineering

Okta · Dublin, Ireland

  • Senior
  • Full-time
  • Posted 2026-11-09
  • Confirmed live on 10 November 2026

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Job description

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 Manager, Site Reliability Engineering to help us lead the Dublin team and evolve Site Reliability Engineering from a traditional operations model into a true Platform as a Service (PaaS) organization.

As the Senior Manager, Site Reliability Engineering for our Dublin/EMEA team, you will be the organizational and operational leader on the ground - setting strategic direction for our regional engineering hub, driving operational rigor and team execution, and partnering with engineering leaders and Principal/Staff engineers on our US and India teams to keep our global platform strategy coherent. You'll report to the Director of Infrastructure Engineering, and lead a growing team that includes Staff, Senior, and mid-level SREs.

What you'll be doing

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Leading the Dublin/EMEA Site Reliability Engineering team responsible for the architecture, availability, and evolution of our Kubernetes platform in close coordination with counterparts in the US and India

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Driving the strategic roadmap and organizational delivery of self-service platform capabilities, golden paths, and self-healing patterns that empower internal teams to ship and operate autonomously

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Directing team execution and operational readiness to host AI-driven internal workflows reliably at scale — model serving, GPU scheduling, and orchestration infrastructure

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Serving as an operational escalation point for the hardest, highest-ambiguity reliability problems, cross-regional incidents, and platform scaling challenges

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Overseeing EMEA participation in a follow-the-sun on-call rotation shared with SRE teams in the US and India, driving blameless postmortem culture and systemic remediation

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Establishing and enforcing organizational standards for SLIs/SLOs, error budgets, operational readiness reviews, and on-call health across engineering groups

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Championing modern SDLC and GitOps practices for infrastructure-as-code, ensuring robust CI/CD maturity, compliance, and safe release automation

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Hiring, retaining, and developing diverse engineering talent across all levels, mentoring technical leaders, and providing transparent career progression paths

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Partnering with product engineering, security, and enterprise architecture leaders to align infrastructure initiatives with broader reliability, compliance, and business roadmaps

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Representing the Dublin/EMEA region in global platform leadership forums, driving shared engineering culture and operational consistency across distributed teams

What you'll bring to the role

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8+ years of total experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering, with 3+ years in formal people management

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Demonstrated track record of leading teams that operate Kubernetes platforms and large-scale cloud-native environments in production

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Proven experience managing mission-critical internal infrastructure platforms running in public cloud environments, preferably AWS

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Strong background guiding teams in modern cloud-native architectures, infrastructure-as-code (Terraform), and enterprise CI/CD delivery pipelines

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Experience leading infrastructure initiatives or teams supporting AI/ML workloads, agentic pipelines, GPU scheduling, or inference orchestration

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Deep familiarity with modern observability tooling and telemetry platforms (Grafana, Splunk, APM, or equivalent) to govern platform health and SLA accountability

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Demonstrated ability to influence platform strategy, resolve cross-functional misalignment, and collaborate effectively with executive stakeholders across global regions

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Outstanding verbal and written communication skills, with proven ability to build high-trust engineering culture, drive accountability, and manage organizational change

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Computer Science degree or related technical field, or equivalent practical experience

Extra credit if you have experience in any of the following

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Leading organizational transformations from traditional operations/DevOps models into dedicated "platform as a product" and internal developer platform teams

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Operational oversight of infrastructure powering AI a

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