Apple Data Platform SRE - Engineering Manager
Leads Apple's Data Platform SRE team in Austin, building and mentoring site reliability engineers who keep globally distributed services like iCloud and Siri highly available. Core tech: Python/Go/Java, Linux, Kubernetes, observability, and data systems like Spark, Flink, Trino, and Druid.
- Compensation
- Not disclosed
- Location
- Austin
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 10+ years of experience in software, systems, or infrastructure engineering
- 3+ years of management experience leading, hiring, and developing teams
- Ability to weigh in on architectural decisions and align engineering execution with product and business needs
- Hands-on experience with reliability engineering, SRE, or large-scale production operations
- Practical experience in Python, Golang, and/or Java
- Knowledge of Linux, containers and virtualization, and standard networking protocols
- Understanding of SRE principles: monitoring, alerting, error budgets, fault analysis
- Experience with cloud computing technologies, particularly Kubernetes
- Ability to lead cross-functional collaboration and influence technical decisions across teams
- Excellent written and verbal communication skills
Nice to have
- Experience defining and operating SLO-based reliability and resiliency programs
- Strong knowledge of observability systems (metrics, logging, tracing)
- Proficiency with open source data analytics technologies such as Apache Spark, Flink, Trino, and Druid
- Working experience with AI, LLMs, and other efficiency or automation tools
Full description
Apple Service Engineering (ASE) teams build and scale the platforms and infrastructure behind many of Apple's services (such as iCloud, iTunes, Siri, and Maps). We are the foundation on which Apple's software developers build the products that our customers love. We are looking for a passionate and dedicated Site Reliability Engineering Manager to provide technical leadership and build our team to help ensure our customers have the highest quality Apple Services experience.
You will be responsible for building, scaling, and mentoring a high-performing SRE team that champions SRE and SWE best practices, release engineering, and data-driven decision-making. You will establish strong cross-functional partnerships to ensure reliability and resiliency are embedded throughout the system lifecycle—from design and development to deployment and operations. Your leadership will help ensure Apple's Data Platform services meet demanding availability, latency, resilience, and security requirements while continuously improving operational maturity. We are looking for a leader who is deeply passionate about operating mission-critical, globally distributed systems, preventing outages, learning from failures, and driving long-term reliability improvements.
Minimum Qualifications
- 10+ years of experience in software engineering, systems engineering, or infrastructure engineering.
- 3+ years of experience in a management role focused on leading, hiring, developing and building teams.
- Ability to weigh in on architectural decisions and align engineering execution with product and business needs
- Hands-on experience with reliability engineering, SRE, or large-scale production operations.
- Practical experience in Python, Golang, and/or Java.
- Knowledge of the Linux Operating System, containers and virtualization, standard networking protocols, and components
- Understanding of SRE principals, including monitoring, alerting, error budgets, fault analysis, and other common reliability engineering concepts.
- Experience with Cloud Computing technologies (particularly Kubernetes)
- Ability to lead cross-functional collaboration and influence technical decisions across teams.
- Excellent written and verbal communication skills
Preferred Qualifications
- Experience in defining and operating SLO-based reliability and resiliency programs.
- Strong knowledge of observability systems (metrics, logging, tracing) and qualification engineering.
- Proficiency with the architecture, deployment, performance tuning, and troubleshooting of open source data analytics and processing technologies, especially Apache Spark, Flink, Trino, Druid, and/or other related software.