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Early Careers DevOps Engineer, Employee Experience Engineering
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- On call
- Computer Science
- Master's degree
- AWS
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Senior Linux/MAC Software Engineer
Forcepoint International Technology Limited —Cork, County Cork
- Full-time
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- Master's degree
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Leo Lynch —Cork, County Cork
- Full-time
- Microsoft Office
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Qualcomm —Cork, County Cork
- Doctoral degree
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PM Group —Cork, County Cork
- Project management
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Principal Product Manager — DSPM
Forcepoint International Technology Limited —Cork, County Cork
- Full-time
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Datavant Ireland —Cork, County Cork
- Remote
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The Irish Defence Forces —Cork, County Cork
- Engineering
- English
- Master's degree
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Mixed-Signal Digital Design Engineer - Cork, Ireland
Qualcomm —Cork, County Cork
- Doctoral degree
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Qualcomm —Cork, County Cork
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MongoDB —Cork, County Cork
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Senior Linux/MAC Software Engineer
Forcepoint International Technology Limited —Cork, County Cork
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Quick apply

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Early Careers DevOps Engineer, Employee Experience Engineering

Apple -
Cork, County Cork

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Job details

1 day ago

Qualifications

CI/CD
Computer Science
Software Engineering
Kubernetes
Ansible
Git
Master's degree
Bash (Unix shell)
AWS
Docker
Bachelor's degree
Terraform
Computer Engineering
Scripting
GitHub
Linux
Jenkins
GitLab
Python

Full job description

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

Employee Experience and Productivity (EEP) is part of IS&T and delivers some of the most widely used communication and productivity technology and services across Apple - from tools that enable collaboration to the support teams that keep Apple's workforce running. EEP also leads user experience design and research, and manages the systems behind Apple's original content studios. Within this team is Employee Engagement & Engineering (EEE), a small, global team that quickly delivers with long-term vision, building durable, reliable systems meant to last. Our focus is on crafting high-quality, user-centred experiences - delivering AI and system interoperability to make every interaction intuitive, seamless, and genuinely useful for the people who rely on our tools.

Description
As a DevOps Engineer on the EEE team, you will help build and operate the infrastructure and delivery pipelines behind web applications powered by Python and PHP backends - including internal Model Context Protocol (MCP) servers that connect Apple's tools and data to AI systems. You will work across CI/CD, cloud infrastructure, containers, and monitoring - gaining broad, hands-on experience in how modern services are deployed, scaled, and kept reliable.

Partnering with senior engineers, you will take ownership of well-scoped tasks across build automation, deployment, and day-to-day system operations - with a strong focus on keeping services available and responsive for the people who depend on them. A meaningful part of the role is operational support: monitoring service health, responding to issues, and helping maintain the uptime our users expect. You'll handle routine work with growing independence while relying on their guidance to navigate new or more complex problems. As you go, you'll begin to connect your work to broader team and business objectives, building strong foundations in infrastructure and reliability within a small, globally distributed team where your contributions are visible from day one.","responsibilities":"Build and maintain CI/CD pipelines that automate testing, builds, and deployments across the team's applications and services
Provision and manage cloud infrastructure (AWS), applying infrastructure-as-code practices for repeatable, version-controlled environments
Package and deploy applications using containers (Docker), contributing to orchestration and configuration
Support the deployment and operation of internal MCP servers and the services that expose Apple's tools and data to AI systems
Set up and maintain monitoring, logging, and alerting to keep services healthy, observable, and meeting uptime and availability targets
Provide day-to-day operational support for the team's applications and services - triaging incoming issues, responding to alerts, and escalating when needed
Write automation scripts (Python, Bash) to reduce manual work and improve consistency across environments
Investigate and help resolve operational issues - from failed deployments to performance and availability problems - working to minimise service disruption and restore uptime quickly
Participate in on-call and incident response with guidance, and contribute to post-incident follow-ups that improve reliability and prevent recurrence
Collaborate with software engineers to make applications easier to build, deploy, and operate
Apply security and access-control best practices to infrastructure and pipelines
Document infrastructure, runbooks, and operational procedures clearly

Preferred Qualifications
Experience building or maintaining CI/CD pipelines (e.g. Jenkins, GitLab CI, GitHub Actions)
Familiarity with infrastructure-as-code tools such as Terraform, CloudFormation, or Ansible
Exposure to container orchestration (Kubernetes)
Familiarity with monitoring and observability tooling (e.g. Prometheus, Grafana, ELK, CloudWatch)
Understanding of networking fundamentals, authentication, and infrastructure security patterns
Exposure to operating Python or PHP web applications in production
Interest in AI tooling and integrations, such as the Model Context Protocol (MCP)
B.S. or M.S. in Computer Science, Software Engineering, or equivalent experience

Minimum Qualifications
Working knowledge of Linux fundamentals and command-line tooling
Familiarity with at least one scripting language (Python, Bash) for automation
Understanding of CI/CD concepts and version control (Git) and collaborative development workflows
Exposure to cloud services (AWS) and/or containerised environments (Docker)

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