📍 Job Overview

Job Title: Data Platform SRE
Company: Apple
Location: Austin, Texas, United States
Job Type: On-site
Category: Site Reliability Engineer
Date Posted: June 18, 2025
Experience Level: Mid-Senior level (5-10 years)

🚀 Role Summary

Key Responsibilities: Manage infrastructure and applications to deliver data processing, governance, and storage for Apple's global products. Collaborate with partner engineering teams to ensure seamless customer experiences.
Key Technologies: Linux, networking protocols, open-source data analytics technologies (Apache Spark, Apache HDFS, Trino), automation tools.

💻 Primary Responsibilities

🌐 Infrastructure Management

Manage and optimize data processing, governance, and storage infrastructure for Apple's global products.
Collaborate with partner engineering teams to ensure seamless customer experiences.

🔍 Cross-Functional Collaboration

Work with cross-functional teams to optimize platforms for performance, scalability, and cost-efficiency.
Define and execute migration strategies for data analytics platforms.

🛠️ Service Deployment & Monitoring

Deploy, support, and monitor new and existing services, platforms, and application stacks.
Automate manual operations and improve them through repeated iteration.

🔧 Troubleshooting & Problem Solving

Troubleshoot and resolve issues in large-scale environments using empirical data and critical thinking.
Balance best solutions with the need to get things done for each engineering challenge.

🎓 Skills & Qualifications

Education: BS/MS in Computer Science or equivalent with 4+ years of software development or production operations experience in a large-scale environment.

Required Skills:

Linux Operating System, standard networking protocols, and components.
Experience with scale testing, disaster recovery, and capacity planning.
Experience collaborating with cross-functional teams to optimize platforms.
Experience deploying, supporting, and monitoring services and application stacks.

Preferred Skills:

Subject matter expertise in leading large-scale migration and modernization initiatives in the data analytics domain.
Working knowledge of open-source data analytics technologies (Apache Spark, Apache HDFS, Trino) in large-scale environments.
Excellent troubleshooting and problem-solving skills.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience with large-scale data processing, governance, and storage infrastructure.
Showcase cross-functional collaboration and optimization projects.
Highlight service deployment, monitoring, and automation projects.

Technical Documentation:

Provide detailed documentation of your infrastructure management, deployment, and monitoring processes.
Include case studies demonstrating problem-solving, troubleshooting, and optimization techniques.

💵 Compensation & Benefits

Salary Range: $150,000 - $220,000 per year (based on regional market research and experience level)

Benefits:

Competitive health, dental, and vision insurance.
Retirement savings plans with company matching.
Generous time off and paid family leave.
Employee discounts on Apple products.
Fitness reimbursement and wellness programs.

Working Hours: Full-time, 40 hours per week, with flexible hours and work-life balance.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, with a focus on consumer electronics and services.

Company Size: Large (over 100,000 employees)

Founded: 1976, with a rich history in innovation and disruption.

Team Structure:

Data Platform SREs work within the Apple Services Engineering organization.
Collaborate with partner engineering teams, product managers, and stakeholders.
Work in cross-functional teams to deliver seamless customer experiences.

Development Methodology:

Agile/Scrum methodologies with sprint planning for data platform projects.
Code review, testing, and quality assurance practices.
Deployment strategies, CI/CD pipelines, and server management.

Company Website: Apple

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior level Site Reliability Engineer, with a focus on data processing, governance, and storage infrastructure.

Reporting Structure: Report directly to the Data Platform SRE management team.

Technical Impact: Influence data processing, governance, and storage infrastructure decisions, ensuring high availability and performance for Apple's global products.

Growth Opportunities:

Technical leadership roles within the Data Platform SRE team.
Opportunities to specialize in specific data analytics technologies or domains.
Potential to transition into management or architecture roles.

🌐 Work Environment

Office Type: Modern, collaborative workspaces with a focus on innovation and creativity.

Office Location(s): Austin, Texas, United States, with opportunities for remote work.

Workspace Context:

Collaborative workspaces with multiple monitors and testing devices available.
Cross-functional collaboration with developers, designers, and stakeholders.
Access to cutting-edge technology and tools.

Work Schedule: Flexible hours with a focus on work-life balance, including core hours and remote work options.

📄 Application & Technical Interview Process

📝 Application Tips

Tailor your resume to highlight relevant skills and experience in large-scale data processing, governance, and storage infrastructure.
Include specific examples of cross-functional collaboration, service deployment, and automation projects.
Research Apple's products and services to demonstrate your understanding of the company and its needs.

🎯 Interview Process

Technical Phone Screen: Discuss your experience with large-scale data processing, governance, and storage infrastructure. Solve problems related to service deployment, monitoring, and automation.
On-site Interview: Present your portfolio, demonstrating your experience with data analytics technologies, problem-solving, and troubleshooting. Collaborate with the team on a case study or technical challenge.

🛠️ Technical Challenge Preparation

Brush up on your knowledge of open-source data analytics technologies (Apache Spark, Apache HDFS, Trino) and their use in large-scale environments.
Practice problem-solving and troubleshooting exercises related to data processing, governance, and storage infrastructure.
Prepare for case studies and technical challenges that focus on service deployment, monitoring, and automation.

🛠️ ATS Keywords

Programming Languages: Python, Bash, Java, Scala
Web Frameworks: Not applicable for this role
Server Technologies: Linux, Apache, Nginx
Databases: Not applicable for this role
Tools: Jenkins, Ansible, Terraform, Prometheus, Grafana
Methodologies: Agile, Scrum, CI/CD
Soft Skills: Collaboration, Communication, Problem-Solving, Troubleshooting
Industry Terms: Site Reliability Engineering, Data Analytics, Data Processing, Data Governance, Data Storage

🛠️ Technology Stack & Web Infrastructure

💻 Frontend Technologies

Not applicable for this role

🔧 Backend & Server Technologies

Linux: Ubuntu, CentOS
Data Analytics Technologies: Apache Spark, Apache HDFS, Trino
Infrastructure Tools: Terraform, Ansible

🛠️ Development & DevOps Tools

Version Control: Git
CI/CD Pipelines: Jenkins
Monitoring Tools: Prometheus, Grafana

👥 Team Culture & Values

🌟 Web Development Values

User-Centric: Focus on delivering seamless customer experiences.
Innovation: Embrace new technologies and approaches to data processing, governance, and storage.
Collaboration: Work closely with cross-functional teams to optimize platforms and services.
Quality: Ensure high availability, performance, and reliability for Apple's global products.

🤝 Collaboration Style

Cross-Functional Integration: Collaborate with partner engineering teams, product managers, and stakeholders.
Code Review Culture: Participate in code reviews and knowledge-sharing sessions.
Peer Programming: Collaborate with team members to solve complex problems and learn from one another.

⚡ Challenges & Growth Opportunities

🌪️ Technical Challenges

Large-Scale Infrastructure: Manage and optimize data processing, governance, and storage infrastructure at scale.
Cross-Functional Collaboration: Work with diverse teams to ensure seamless customer experiences.
Service Deployment & Monitoring: Automate deployment and monitoring processes for new and existing services.
Problem-Solving: Troubleshoot and resolve issues in large-scale environments using empirical data and critical thinking.

🌱 Learning & Development Opportunities

Technical Skill Development: Specialize in specific data analytics technologies or domains.
Conference Attendance & Certification: Attend industry conferences and obtain relevant certifications.
Technical Mentorship: Seek mentorship opportunities within the team or organization to develop leadership skills.

💡 Interview Preparation

🎯 Technical Questions

Data Processing & Storage: Discuss your experience with data processing, governance, and storage infrastructure in large-scale environments.
Service Deployment & Monitoring: Explain your approach to deploying, supporting, and monitoring services and application stacks.
Problem-Solving & Troubleshooting: Describe your process for troubleshooting and resolving issues in large-scale environments.

🏢 Company & Culture Questions

Apple's Products & Services: Demonstrate your understanding of Apple's products and services and how your role contributes to their success.
Teamwork & Collaboration: Explain your approach to working with cross-functional teams and ensuring seamless customer experiences.
Company Culture: Discuss how your values and work style align with Apple's company culture and values.

📝 Portfolio Presentation Strategy

Live Demonstrations: Prepare live demonstrations of your infrastructure management, deployment, and monitoring projects.
Case Studies: Develop case studies that highlight your problem-solving, troubleshooting, and optimization techniques.
User Experience Focus: Emphasize the user experience impact of your projects and how they contribute to seamless customer experiences.

📌 Application Steps

To apply for this Data Platform SRE position:

Tailor your resume to highlight relevant skills and experience in large-scale data processing, governance, and storage infrastructure.
Prepare for the technical phone screen by brushing up on your knowledge of data analytics technologies and practicing problem-solving and troubleshooting exercises.
Research Apple's products and services to demonstrate your understanding of the company and its needs.
Prepare for the on-site interview by developing a portfolio that showcases your experience with data processing, governance, and storage infrastructure, as well as your problem-solving and troubleshooting skills.
Prepare for case studies and technical challenges that focus on service deployment, monitoring, and automation.
Submit your application through the Apple Jobs portal and follow the instructions provided.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and Site Reliability Engineering industry-standard assumptions. All details should be verified directly with the Apple hiring organization before making application decisions.

Data Platform SRE