AIOps Software Engineer - Strategic Data Solutions

Apple•Austin, TX

About The Position

Join Apple’s SWE AIOps team in Strategic Data Solutions (SDS), supporting real-time decision systems, large-scale platforms, and thousands of services and jobs operating on petabytes of data. The team builds customer data solutions and systems used by Apple engineering and operations teams, working across a global ecosystem and collaborating with technical teams and business partners. The role focuses on developing and operating applications for analytics and real-time platforms, solving complex software engineering and operational problems, and advancing AIOps capabilities across SDS. The engineer will help design, architect, build, and maintain applications and systems using cloud and AI technologies; improve automation and operational practices; and provide technical leadership that strengthens the team’s operational maturity. Collaboration, independent execution, effective communication, and respect for diverse perspectives are important to the role.

Requirements

At least 8 years of work experience in Java, Scala, Python, or an equivalent programming language.
At least 8 years of work experience in software engineering, data engineering, or systems engineering involving the full development lifecycle.
Fundamental understanding of computer science, including data structures and algorithms.
Hands-on design and development experience with big data and NoSQL technologies, such as Iceberg, S3, Cassandra, or Elasticsearch.
Proven expertise building and accelerating software development workflows using AI coding assistants and LLMs such as Claude.
Experience deploying applications using Docker and Kubernetes.
Understanding of designing and developing large-scale, high-throughput, low-latency applications.
Experience addressing architectural and design considerations including performance, scalability, reusability, and flexibility.
Ability to diagnose and resolve complex technical and operational issues.
Ability to solve problems collaboratively with business partners.
Proven technical leadership and communication skills.
Strong aptitude and ability to learn new technologies quickly.
Experience developing batch and streaming Spark applications.
Understanding of best practices and deployment of pipelines in cloud technologies such as AWS.
Experience with large-scale real-time decisioning.
Ability to apply diverse experiences, styles, backgrounds, and perspectives to achieve results.

Nice To Haves

Bachelor’s or master’s degree in Computer Science is preferred; equivalent work experience is considered.

Responsibilities

Support analytics and real-time platforms.
Develop applications to answer complex analytical and real-time operational questions.
Work with external teams to drive development of infrastructure needs.
Help design, architect, build, and maintain applications and systems using cloud and AI technologies.
Drive operational excellence across business-critical platforms through exploration, benchmarking, and implementation of resilient operations and systems engineering solutions.
Identify opportunities for automation and tool improvements.
Provide hardware architectural guidance, estimate cluster capacity, and create a roadmap.
Provide technical leadership focused on increasing operational maturity and skills across the team.
Work closely with MLEs, other SDS teams, and business partners across Apple.
Adapt communication content and style to meet the needs of diverse stakeholders.
Leverage different experiences, styles, backgrounds, and perspectives appropriately.
Establish standards, operational excellence, and delivery practices that other SDS teams can adopt.
Diagnose and resolve complex technical and operational issues escalated by support and development teams.
Collaborate with business partners to solve problems.
Use AI-driven application performance monitoring tools for predictive failure detection and automated root-cause analysis.
Contribute to a work climate where differences are valued and supported.