Job Description

Locations

• Cupertino, California, United States 95014

Salary

Skills Required

• systems analysisintermediate
• automationintermediate
• data intelligenceintermediate
• configuration of internal toolsintermediate
• developing automationintermediate
• understanding large-scale systemsintermediate
• working with technical teamsintermediate
• working with operational teamsintermediate
• thriving in fast-paced environmentsintermediate

Required Qualifications

• 3+ years of professional experience. (experience, 3 years)
• JavaScript proficiency for use as a scripting language in backend or automation systems to process data, evaluate logic, or respond to events. Note, this is not a front-end web development role. (experience)
• Experience with client-server architectures and tools that dynamically generate or configure user interfaces. (experience)
• Background in supporting high-volume operations such as support desks, customer service platforms, or call centers. (experience)

Preferred Qualifications

• Familiarity with Apple’s SDK and an understanding of how apps work, including the ability to interpret binary analysis output, control flow graphs, network traffic, etc. (experience)
• Hands-on experience with event-driven compute or function-as-a-service (FaaS) platforms. (experience)
• Experience querying and analyzing large datasets using tools like Trino, HDFS, or similar big data technologies. (experience)
• Proficiency in Python, particularly for data analysis. (experience)

Responsibilities

• In this role, you’ll work at the intersection of systems analysis, automation, and data intelligence — enabling our support specialists to work more efficiently and effectively.
• You will own the configuration of our internal tools and developing automation. The ideal candidate thrives in fast-paced environments, understands how large-scale systems operate, and is eager to work closely with both technical and operational teams.
• Configuring and customizing internal tools to support multiple app review workflows.
• Developing assistive tools for decisioning systems, ensuring outcomes are accurate, explainable, and scalable.
• Driving functional requirements to improve event-driven compute solutions (e.g., FaaS) used to generate actions and insights based on real-time signals and telemetry.
• Collaborating with support operations teams to understand workflows, identify bottlenecks, and surface data needs.
• Debugging and inspecting apps, including signals such as network traffic and binary analysis output, to identify new opportunities for automation.
• Querying and processing large-scale datasets using platforms like Trino and HDFS.

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