Support Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $184,700–$277,600 / yr
Posted: 87 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $140k

This role $231k

$83k most similar roles pay here $298k

This role pays more than 97% of similar roles. Most pay $113,650–$166,578 — the shaded band above. At the midpoint, this role pays about $231k versus about $140k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Support Engineer

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The Support Engineer joins the Decision Intelligence team to provide technical responses across a multidisciplinary engineering organization. This role involves triaging issues, diagnosing pipeline failures, and resolving bugs within data science workflows, full-stack web engineering, and triage pipelines. The engineer will build and maintain support runbooks while delivering targeted fixes for Python microservices, Node.js/Express APIs, GraphQL layers, and data pipelines. Key technical requirements include proficiency in Python, JavaScript, SQL, and experience with Snowflake or MongoDB. Candidates must be skilled in debugging backend services, frontend interfaces, and LLM-powered applications. The role addresses the challenge of maintaining reliable systems for AI solutions that impact sales operations. Essential skills include managing multiple support queues, utilizing AI-assisted development tools like Claude Code, and coordinating resolutions across technical and non-technical stakeholders within a fast-paced environment.

Skills

Python Node.js Express GraphQL SQL Snowflake PostgreSQL MongoDB Docker Kubernetes REST APIs Microservices CI/CD Airflow RabbitMQ Redis Langfuse PagerDuty Claude Code React

What you'll do

Triage and route incoming technical issues across the Decision Intelligence engineering organization.
Diagnose and resolve data science pipeline failures, Snowflake query issues, and LLM output regressions.
Identify, reproduce, and patch bugs in backend services, APIs, and frontend interfaces.
Deliver code fixes and enhancements for Python microservices, Node.js/Express APIs, and GraphQL layers.
Maintain and improve support runbooks, issue templates, and escalation playbooks to reduce resolution time.
Communicate root causes and resolution plans clearly to business partners and leadership during active incidents.
Contribute to system reliability by improving observability, test coverage, and identifying patterns in recurring issues.

What we're looking for

A B.S. degree in Computer Science, Engineering, or a related field is required, or equivalent practical experience.
An advanced degree (MS) in Computer Science, Engineering, Data Science, or a related technical field is preferred.
8+ years of experience in software engineering with the ability to triage and resolve issues across the full stack.
Proficiency in Python and JavaScript/Node.js for diagnosing and patching backend and frontend systems.
Experience supporting data science workflows, including pipeline failures, data quality issues, and model output anomalies.
Familiarity with SQL, relational databases (e.g., Snowflake), document stores, and REST APIs in distributed systems.
Ability to use AI-assisted development tools while critically reviewing and validating the generated output.
Strong communication skills to explain root causes and coordinate resolutions for both technical and non-technical stakeholders.

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