Senior Site Reliability Engineer, Apple Data Platform SRE / Apple Services Engineering
Leads reliability standards and engineering excellence for Apple’s large-scale data analytics infrastructure, including Hadoop, Spark, and Airflow, while mentoring teams and ensuring high availability.
- Compensation
- Not disclosed
- Location
- Austin
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5+ years experience in building, operating and scaling a large application in a
- private, public or hybrid cloud environment
- Deep expertise in Kubernetes, with hands-on experience using platforms such
- as Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service
- (EKS)
- Proficient in designing, developing, and releasing code in languages such as
- Python, Go, or Rust
- Practical experience with object storage technologies, including Amazon S3
- or Google Cloud Storage (GCS)
- Strong background in designing and troubleshooting complex networking
- issues in both public and private cloud infrastructures
- Solid understanding of Linux internals, standard networking protocols, and
- distributed systems architecture
Nice to have
- Preferred Qualifications
- Proven drive to automate manual operations and enhance processes through
- continuous iteration
- Strong understanding of best practices for deploying large-scale, distributed
- applications
- Hands-on experience managing diverse system environments using
- configuration management tools or software delivery platforms such as
- Spinnaker, Helm, or Flux
- Demonstrated expertise in deploying, supporting, and monitoring both new
- and existing services, platforms, and application stacks
- Solid familiarity with container orchestration and management using
- Kubernetes
Full description
At Apple, we don’t just build products — we create transformative experiences that have reshaped entire industries. Our innovation is driven by the diversity of our people and their ideas, inspiring everything we do. Imagine the impact you could make. Join Apple and help us leave the world better than we found it. The ML Infrastructure team is responsible for managing Apple’s largest ML compute platform, multi-cloud storage abstraction and caching platform, which supports critical machine learning training workloads that power user-facing features across the Apple ecosystem. Operating across both first-party and third-party cloud environments brings complex and unique challenges. As a Site Reliability Engineer (SRE) on the ML Infrastructure team, you’ll be expected to address these challenges through a strong foundation in cloud object storage, data analysis, automation, collaboration, and advanced expertise in Kubernetes. Our team oversees the full infrastructure stack — from low-level nodes to the complete network architecture — ensuring our platform remains highly available, resilient, and efficient at scale.
We are seeking an experienced Software and Systems Engineer to join our dynamic team. This role demands a proactive mindset, technical excellence, and a collaborative spirit. The ideal candidate will demonstrate: • Strong critical thinking and a high degree of individual accountability • Effective communication and collaboration skills • A genuine passion for Infrastructure as a Service (IaaS) • A commitment to automation and operational efficiency • Ownership of projects from design through delivery • A solutions-oriented approach, coupled with the ability to gain alignment on technical direction • Consistent and timely execution of design implementations aligned with project objectives • The ability to provide constructive technical feedback, fostering team-wide growth and continuous improvement
Minimum Qualifications
- 5+ years experience in building, operating and scaling a large application in a
- private, public or hybrid cloud environment
- Deep expertise in Kubernetes, with hands-on experience using platforms such
- as Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service
- (EKS)
- Proficient in designing, developing, and releasing code in languages such as
- Python, Go, or Rust
- Practical experience with object storage technologies, including Amazon S3
- or Google Cloud Storage (GCS)
- Strong background in designing and troubleshooting complex networking
- issues in both public and private cloud infrastructures
- Solid understanding of Linux internals, standard networking protocols, and