Site Reliability Engineer, Enterprise Technology Services

Apple Inc.; Cork; On-site; EUR 90,000 - 130,000; Full time

Job summary

Apple Inc. in Cork, Ireland, is establishing a new EMEA operational SRE team within the Enterprise Technology Services group. The role focuses on ensuring reliability of Apple’s Insight big data ecosystem, with ML-driven alerting, automation, and cross-functional collaboration across time zones.

The candidate will own scalability and observability, contribute to IaC practices, and help shape regional SRE culture within a globally distributed environment.

Qualifications

• Experience in SRE, DevOps, or platform engineering.
• Strong Linux systems proficiency with troubleshooting at the system level.
• Programming and automation in Python, Go, or Bash with AI/ML in IT operations.
• Hands-on experience with cloud platforms such as AWS or GCP in production environments.

Responsibilities

• Own the reliability, performance, and scalability of services and infrastructure within the Insight ecosystem.
• Build and advance AIOps capabilities—ML-driven alerting, anomaly detection, and automated incident triage.
• Instrument services for deep observability: dashboards, alerts, runbooks, and defined SLOs/SLIs.
• Drive automation to reduce toil and improve ecosystem uptime and release quality.

Skills

SRE/DevOps experience

Linux proficiency

Programming in Python/Go/Bash

Cloud platforms (AWS/GCP)

Education

BS/MS in Computer Science/Software Engineering

Tools

Kubernetes

CI/CD tools

Terraform

Pulumi

Prometheus

Grafana

Jenkins

GitHub Actions

ArgoCD

Elasticsearch

Job description

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Site Reliability Engineer, Enterprise Technology Services

Cork, County Cork, Ireland Corporate Functions

Enterprise Technology Services (ETS) is part of IS&T and delivers global-scale platforms and services that keep Apple's operations secure and running. The team manages identity, device security, and anti-abuse platforms covering everything from manufacturing and repairs to software updates and activations. ETS also oversees supply chain, manufacturing, and partner integration platforms, protecting data on more than 2.5 billion devices worldwide. And when Apple prepares for a global product launch, ETS owns the systems that ramp factory production, managing serial numbers, network credentials, and verified software.The Insight team runs one of Apple's most critical Big Data ecosystems, a multi-petabyte, highly-available infrastructure that underpins manufacturing operations for every Apple product, globally. Every iPhone, iPad, and Mac has touched our systems. We are establishing a new EMEA operational team in Cork, not only as an extension of our US/India/China operations, but also a team with its own identity, perspective, and contribution to how Insight runs at global scale. This is a new regional team being built from the ground up, and the people who join early will help shape what it becomes!We are looking for a Site Reliability Engineer who wants to shape the practices of a new team. You will have real influence over how this team works, what it builds, and how it contributes to Apple's manufacturing infrastructure worldwide.

Description

You will operate and improve services within a very large-scale, highly-available Big Data ecosystem supporting Exabytes level of data with sustained, rapid growth. Your work directly enables the engineering and operations teams that build every Apple product.Own the reliability, performance, and scalability of services and infrastructure within the Insight ecosystem — with a build-to-manage mindset applied to design, deployment, and ongoing operationsBuild and advance AIOps capabilities across the ecosystem — developing ML-driven alerting, anomaly detection, LLM-assisted operational tooling, and automated incident triage that measurably improve observability and responseInstrument services for deep observability: dashboards, meaningful alerts, runbooks, and clearly defined SLOs and SLIs that give the team and stakeholders an accurate view of ecosystem healthDrive automation that reduces operational toil and improves ecosystem stability — key measures of success include ecosystem uptime, release quality, toil reduction, and sustained advancement of SRE practicePartner with incident management to drive effective incident response and conduct thorough post-incident reviews; translate findings into architectural and operational improvements that prevent recurrenceContribute to infrastructure-as-code practices and platform architecture decisions that shape the long-term direction of the Insight ecosystemCollaborate with cross-functional engineering teams across Apple's global manufacturing services, communicating effectively across time zones and culturesHelp define the culture, working practices, and technical standards of the new EMEA operational team — build strong in region relationships with business partners and represent the team's perspective within the wider Insight organization

Minimum Qualifications

• Experience in SRE, DevOps, or platform engineering — with strong communication skills, able to document clearly, lead technical discussions, and collaborate effectively across geographies
• Strong Linux systems proficiency — comfortable troubleshooting at the systems level including processes, networking, file systems, and performance diagnostics
• Programming and automation experience in Python, Go, or Bash, combined with practical exposure to AI/ML applied to IT operations — anomaly detection, intelligent alerting, or LLM-driven tooling
• Hands-on experience with cloud platforms such as AWS or GCP, with solid understanding of compute, storage, networking, and IAM in production environments

Preferred Qualifications

• Kubernetes, CI/CD, and networking fundamentals — practical experience with container orchestration and deployments, pipeline tooling (ArgoCD, Jenkins, GitHub Actions, or similar), and a solid grasp of HTTP, DNS, TCP/IP, and how traffic flows through distributed systems
• Monitoring, observability, and infrastructure-as-code — experience operating systems instrumented with Grafana, Prometheus, Kibana, or equivalent, alongside practical IaC skills using Terraform, Pulumi, or Crossplane
• Exposure to big data technologies in production or substantial project contexts — Kafka, Druid, Elasticsearch, or Object Storage
• SRE principles applied in practice: error budgets, SLOs, SLIs, toil measurement and reduction
• Experience with relational databases in production environments — MySQL or PostgreSQL
• Configuration management, API design, and open-source practice — experience with tools such as Ansible, Chef, or Puppet; familiarity with Open API and microservice architectures; contributions to open-source projects are a meaningful signal
• Experience working across multiple geographies and cultures in EMEA-based technology organizations
• BS or MS in Computer Science, Software Engineering, or equivalent technical discipline; equivalent professional experience will be fully considered

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