Job Description
Summary
Do you love solving complex challenges? Are you an inventive self-starter who takes pride in making ideas come to life on a global scale? Are you passionate about developing data platforms using creative algorithms to process petabytes of data with very low latency? If so, join the Apple Services Engineering Data Platform team to design and build a scalable data platform services that is used across Apple. As part of Apple Services Engineering, you will have a meaningful role in designing, developing, and deploying high-performance systems that handle billions of transactions daily. This enormous scale brings challenges that require extraordinarily creative problem-solving. We are looking for Engineers and Architects passionate about crafting data products. This role requires deep understanding of developing products that are highly scalable, highly available and fully fault tolerant.
Description
We are building and supporting critical infrastructural systems and frameworks that provide and support services like structured and unstructured storage, caching, queueing, searching, querying, and much more. We are looking for a strong, enthusiastic developer to join as a member of this group. This person will have a tremendous amount of individual responsibility and influence over the direction of many critical Apple internet services for years to come. You are someone with ideas and a real passion for software delivered as a service to improve reuse, efficiency, and simplicity. This engineer's work will affect the success of some of the most visible current and future Apple features.
Responsibilities
Architect, deploy, and scale Massively Parallel Processing (MPP) query engines (such as Trino and StarRocks) across diverse multi-cloud environments.
Orchestrate containerized deployments using Kubernetes, Docker, and Helm to ensure highly available, seamless software distribution and resilient infrastructure.
Collaborate cross-functionally with engineering teams across Apple to understand their data landscape, building platform features that optimize and simplify their daily data operations.
Drive end-to-end project execution, taking ownership of the software development lifecycle from initial architecture and design reviews through to successful production releases.
Investigate, triage, and remediate complex operational issues, ensuring the highest levels of system reliability, low-latency performance, and fault tolerance in production.
Champion a culture of engineering excellence by continuously evaluating and integrating emerging technologies to solve complex, petabyte-scale challenges in a fast-paced environment.
Minimum Qualifications
3+ years experience in data processing ecosystems
Coding experience in Java/Scala/Go, preferably with critical, large-scale distributed systems
Experience in designing and developing stateless APIs using HTTP and similar protocols to support service-oriented software distribution across multiple cloud environments
Ability to design large-scale, complex applications with excellent run-time characteristics such as low latency, fault-tolerance, and availability
Understands MPP Query Engines like Trino, Starrocks, etc.
Bachelor's degree or Masters in Computer Science, Computer Engineering, or equivalent
Preferred Qualifications
Experience with contribution to Open Source projects is a plus
Experience with multiple public cloud infrastructure is a plus
Experience in cluster management/orchestration software like Kubernetes, Spinnaker, Helm charts, Docker is a plus
A learning attitude to continuously improve the self, team, and the organization
Deeply concerned about excellence and quality
Loves fast-paced environment and learning new technologies
Do you love solving complex challenges? Are you an inventive self-starter who takes pride in making ideas come to life on a global scale? Are you passionate about developing data platforms using creative algorithms to process petabytes of data with very low latency? If so, join the Apple Services Engineering Data Platform team to design and build a scalable data platform services that is used across Apple. As part of Apple Services Engineering, you will have a meaningful role in designing, developing, and deploying high-performance systems that handle billions of transactions daily. This enormous scale brings challenges that require extraordinarily creative problem-solving. We are looking for Engineers and Architects passionate about crafting data products. This role requires deep understanding of developing products that are highly scalable, highly available and fully fault tolerant.
Description
We are building and supporting critical infrastructural systems and frameworks that provide and support services like structured and unstructured storage, caching, queueing, searching, querying, and much more. We are looking for a strong, enthusiastic developer to join as a member of this group. This person will have a tremendous amount of individual responsibility and influence over the direction of many critical Apple internet services for years to come. You are someone with ideas and a real passion for software delivered as a service to improve reuse, efficiency, and simplicity. This engineer's work will affect the success of some of the most visible current and future Apple features.
Responsibilities
Architect, deploy, and scale Massively Parallel Processing (MPP) query engines (such as Trino and StarRocks) across diverse multi-cloud environments.
Orchestrate containerized deployments using Kubernetes, Docker, and Helm to ensure highly available, seamless software distribution and resilient infrastructure.
Collaborate cross-functionally with engineering teams across Apple to understand their data landscape, building platform features that optimize and simplify their daily data operations.
Drive end-to-end project execution, taking ownership of the software development lifecycle from initial architecture and design reviews through to successful production releases.
Investigate, triage, and remediate complex operational issues, ensuring the highest levels of system reliability, low-latency performance, and fault tolerance in production.
Champion a culture of engineering excellence by continuously evaluating and integrating emerging technologies to solve complex, petabyte-scale challenges in a fast-paced environment.
Minimum Qualifications
3+ years experience in data processing ecosystems
Coding experience in Java/Scala/Go, preferably with critical, large-scale distributed systems
Experience in designing and developing stateless APIs using HTTP and similar protocols to support service-oriented software distribution across multiple cloud environments
Ability to design large-scale, complex applications with excellent run-time characteristics such as low latency, fault-tolerance, and availability
Understands MPP Query Engines like Trino, Starrocks, etc.
Bachelor's degree or Masters in Computer Science, Computer Engineering, or equivalent
Preferred Qualifications
Experience with contribution to Open Source projects is a plus
Experience with multiple public cloud infrastructure is a plus
Experience in cluster management/orchestration software like Kubernetes, Spinnaker, Helm charts, Docker is a plus
A learning attitude to continuously improve the self, team, and the organization
Deeply concerned about excellence and quality
Loves fast-paced environment and learning new technologies
💡 Quick Summary
Seeking a career-building opportunity? The Senior Software Engineer - ASE Data Platform position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Seattle offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
