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Temporary Apple Support Engineer Jobs (NOW HIRING)

At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences ... We're looking for a Support Engineer who thrives at the intersection of speed and precision ...

At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences ... Description We're looking for a Support Engineer who thrives at the intersection of speed and ...

Support Engineer

Austin, TX · On-site

$181K - $272K/yr

At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences ... Description We're looking for a Support Engineer who thrives at the intersection of speed and ...

... Apple ecosystem support (ABM, ADE, VPP, Config profiles etc) / Responsibilities Role Overview We are seeking a highly skilled macOS Engineer to provide L3 support, drive enterprise-scale MDM ...

New

Mac Support Engineer

Ashburn, VA · Hybrid

$75K - $85K/yr

The ideal candidate will work closely with the Apple Engineering team to achieve customer requirements, provide expertise enhancing the macOS end-user experience, providing deskside support, and ...

Mac Support Engineer

Ashburn, VA · On-site

$75K - $85K/yr

The ideal candidate will work closely with the Apple Engineering team to achieve customer requirements, provide expertise enhancing the macOS end-user experience, providing deskside support, and ...

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Temporary Apple Support Engineer information

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How much do temporary apple support engineer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for temporary apple support engineer in the United States is $39.87, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $46.63 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Apple Support Engineer jobs? The most popular types of Apple Support Engineer jobs are:
Infographic showing various Temporary Apple Support Engineer job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, 38% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $82,930 per year, or $39.9 per hour.
Support Engineer

Support Engineer

Apple

Austin, TX • On-site

Full-time

Posted 4 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish...Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers...Apple's US Decision Intelligence (DI) team is looking for a talented individual who is passionate about crafting, implementing, and operating AI solutions that have a direct and measurable impact on Apple Sales and its customers.
We're looking for a Support Engineer who thrives at the intersection of speed and precision - someone who can deliver bug fixes, enhancements, and rapid responses across a multidisciplinary engineering organization. This role spans the full DI tech stack, supporting data science and AI insights workflows, full-stack web engineering, and the triage and escalation pipelines that keep our systems reliable and our teams unblocked.
8+ years of experience in software engineering, with demonstrated ability to triage, debug, and resolve issues across the full stack.We're looking for someone with an eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.Strong debugging and root-cause analysis skills across backend services, data pipelines, and web applications.Proficiency in Python and JavaScript/Node.js for diagnosing and patching issues across backend and frontend systems.Experience supporting data science or analytics workflows, including pipeline failures, data quality issues, and model output anomalies.Familiarity with SQL and relational databases (e.g., PostgreSQL, Snowflake) and document stores (e.g., MongoDB) for investigating and resolving data issues.Comfortable leveraging AI-assisted development tools (e.g., Claude Code) to accelerate code generation, test authoring, PR writeups, and requirements drafting, and able to critically review and validate AI-generated output before it ships.Working knowledge of REST APIs, microservices, and distributed systems architectures.Ability to manage multiple support queues simultaneously, prioritizing appropriately across severity levels and teams.Strong written and verbal communication skills - able to document issues, explain root causes, and coordinate resolutions clearly for both technical and non-technical stakeholders.Ability to work in a fast-paced, dynamic, constantly evolving business environment.B.S. degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Experience supporting LLM-powered or agentic AI applications, including diagnosing retrieval failures, prompt regressions, and model output issues.Familiarity with data science tooling such as Dataiku, Snowflake, Airflow, or Python-based analytics pipelines.Experience with full-stack web frameworks, including Node.js/Express.js, Apollo GraphQL, and React or similar frontend technologies.Hands-on experience with containerized environments using Docker and Kubernetes for log inspection and service-level debugging.Familiarity with observability and tracing tools such as Langfuse, PagerDuty, or equivalent LLM call tracing platforms.Exposure to message queue systems such as RabbitMQ or Redis in the context of async pipeline debugging.Experience with CI/CD workflows, including reading build logs, identifying deployment regressions, and coordinating hotfixes.Ability to write small, targeted code enhancements and fixes - not just identify issues, but contribute to their resolution.Advanced Degree (MS) in Computer Science, Engineering, Data Science, or a related technical field is preferred.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976