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Apple Sr Software Engineer - Data Infrastructure ASE United States, California, Cupertino 440684854
09.06.2025
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As part of Apple Services Engineering (ASE), you will have a meaningful role in designing, developing, and deploying high-performance systems that handle millions of queries every single day. This enormous scale brings challenges that require extraordinarily creative problem-solving. By focusing on and respecting the customer's needs, you'll be responsible for helping us build the technology that works for so many customers around the world. We are looking for engineers who are passionate about crafting big-data products. This role requires a deep understanding of developing products that are highly scalable, highly available, and fully fault tolerant.
As part of the Data Platform team, you will have a meaningful role in designing, developing, and deploying high-performance systems that handle millions of online events and queries daily. This enormous scale brings challenges that require extraordinarily creative problem-solving. We are looking for a strong, enthusiastic developer to join as a member of this group. You will have a tremendous amount of individual responsibility and influence over the direction of critical services for years to come.
- 5+ years experience designing, developing, and deploying large-scale data processing frameworks and applications on cloud-based infrastructure such as AWS, GCP, etc.
- Strong programming expertise in Go, Java, Scala, and scripting languages, preferably with critical, large-scale distributed systems.
- Proficiency in Infrastructure as Code (IaC) tools (e.g Pulumi, Crossplane).
- Collaborate with cross-functional teams to integrate Cloud infrastructure solutions into Data platform products and services
- Experience with containerization and orchestration (e.g., Docker, Kubernetes).
- Ability to design large-scale, complex applications with excellent run-time characteristics such as low latency, fault-tolerance, and high availability
- Bachelor’s degree or Masters in Computer Science, Computer Engineering, or equivalent
- Experience engineering modern Analytics and Data technologies like Spark, Flink, Iceberg, Trino, Jupyter, Druid, etc. at scale is a plus
- Experience with contribution to Open Source projects is a plus
- Deeply concerned about excellence and quality
- Loves fast-paced environment and learning/leveraging new technologies
- A learning attitude to continuously improve the self, team, and the organization
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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