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G MASS —Dublin, County Dublin
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Quick apply
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StepStone Group —Dublin, County Dublin
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Senior Full Stack Engineer, Employee Engagement Engineering

Apple -
Cork, County Cork

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Job details

Qualifications

Data modelling
Law
Computer Science
Software Engineering
React
Kubernetes
Master's degree
AWS
Docker
Bachelor's degree
JavaScript
Computer Engineering
AI
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, 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 Senior Full Stack Software Engineer, you will be a key contributor to web applications powered by Python and PHP backends, with frontends spanning React, Vue, and server-rendered templates, guiding technical direction across the stack. You take ownership of complex, ambiguous problems across the frontend, API, and data layers - including internal Model Context Protocol (MCP) servers that power AI and system interoperability - and you drive technical decisions that shape how these pieces work together.

You operate with significant autonomy on complex work, applying best practices and critical judgment with minimal guidance. You identify opportunities to improve reliability, developer experience, and user-facing quality, and you extend your impact across related teams and cross-organization initiatives. The team's size means your technical decisions have direct, outsized impact on the applications thousands of Apple employees use every day.
","responsibilities":"Guide the technical direction and implementation of complex features spanning frontend interfaces (React, Vue, or server-rendered templates) and Python and PHP backend services
Design scalable APIs, data models, and service architectures - including internal MCP servers that expose tools and data to AI systems
Drive features through their full lifecycle: from concept and design through deployment and operational excellence
Apply and help raise engineering best practices across the full stack - frontend architecture, API design, testing strategies, and performance
Identify technical risks and dependencies early; develop mitigation strategies and drive resolution
Mentor and share knowledge with colleagues across both frontend and backend disciplines
Contribute to cross-organization initiatives, expanding your impact beyond the immediate team
Partner with product managers and stakeholders to inform roadmap priorities and technical direction
Lead post-incident reviews and drive improvements in reliability and operational quality
Evaluate and integrate AI services and capabilities - such as MCP-based tooling - to enhance the user experience
Contribute to hiring: interview candidates, calibrate the technical bar across the stack

Preferred Qualifications
Experience building and operating production web applications at scale
Experience building MCP servers or other AI tooling and service integration - LLM APIs, RAG architectures
Familiarity with backend frameworks such as Flask, FastAPI, Laravel, or Symfony
Experience with observability, monitoring, and site reliability practices
Track record of driving engineering quality improvements across a team
Familiarity with infrastructure-as-code and container orchestration (Docker, Kubernetes)
B.S. or M.S. in Computer Science, Software Engineering, or equivalent experience

Minimum Qualifications
Deep proficiency in Python and/or PHP for backend web development, with strong API design skills
Strong frontend experience with JavaScript and a modern framework (React or Vue) and/or server-rendered templates
Solid command of database design - relational and non-relational - and query optimisation, plus experience with cloud infrastructure (AWS) and deployment automation
Demonstrated ability to lead technical design and mentor other engineers

Apply Now

Refine Your Search

director, data engineering jobs

Senior Full Stack Engineer, Employee Engagement Engineering

Director, Operational Excellence, EU & NA

AI Engineering Lead - Senior Manager - Data & AI - Technology Consulting - Advisory

Director of Accounting & Controlling

Director, Data engineering

Head of Data Intelligence, Director

Director Analyst-Direct Spend Procurement Technology (Remote-Ireland, Remote-UK)

Data Engineering Team Lead - Databricks

Senior Civil Engineer , Data Centre Design Engineering

Data Engineering Lead – English Speaker – Office Based

Data Analytics Engineer (Payments)

Head of Engineering (Europe, 100% remote)

Director of Engineering

Early Careers Full Stack Engineer, Employee Engagement Engineering

Regional Sales Director | UK & Ireland

Data Center Facility Manager, Operation, IT and support Engineering

Data & AI Consultant – Associate Director - ROI / Belfast

Senior Director, Regional People Business Partner

Engineering Manager (Data Processing) (Remote - Ireland)

Senior Analyst - Data Science & Engineering

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