Job Details

Weekly Hours: 40

Role Number: 200635092-3337

Summary

The Apple Services Engineering (ASE) Detection team is responsible for building advanced detections that protect approximately three-quarters of Apple’s systems and services. As our detection program scales, we need sophisticated engineering solutions that enable more effective detection creation, investigation, and response. Join Apple, and help us build world-class detection and response platforms that protect billions of users.

We’re looking for a Detection and Response Software Engineer who is passionate about building tools and platforms that multiply the effectiveness of security teams. In this role, you’ll design and implement engineering solutions that automate investigation workflows, enrich alerts with contextual data, enable rapid incident response, and leverage cutting-edge technologies including GenAI to transform how we approach detection and response.

This is a software engineering role with a security mission. You’ll need strong development fundamentals, experience shipping production-quality code, and the ability to work at the bleeding edge of technology. We’re looking for engineers who embrace GenAI-assisted development while maintaining rigorous engineering standards and best practices.
If you’re excited about building platforms that empower security teams and want to shape the future of detection engineering at scale, we’d love to hear from you!

Description

As a Detection and Response Software Engineer on the ASE Detection Team, you will:

Design and build engineering platforms that enable efficient detection creation, alert enrichment, automated investigation, and incident response workflows

Develop automation solutions that transform raw security signals into high-fidelity, actionable alerts through correlation, enrichment, and intelligent processing

Build integrations with collaboration platforms (Slack, Teams), ticketing systems, and security tools to enable seamless “SlackOps” and automated response workflows

Leverage GenAI technologies to create next-generation detection and investigation tools, applying modern AI-assisted development techniques while ensuring reliability and security

Establish engineering requirements for detection-as-code frameworks, testing methodologies, and deployment pipelines

Collaborate with detection engineers to understand operational pain points and translate requirements into scalable technical solutions

Minimum Qualifications

• 5+ years of professional software development experience with demonstrated ability to ship production-quality code

• Strong proficiency in Python with experience building production services, APIs, or data processing pipelines

• Bachelor’s degree in Computer Science, Software Engineering, or related technical field, or equivalent professional experience

• Experience with software engineering fundamentals: version control (Git), testing frameworks, CI/CD pipelines, code review practices

• Demonstrable coding skills through one or more of: active GitHub profile with personal projects, contributions to open-source projects, technical blog, or portfolio of shipped software

Preferred Qualifications

• Proficiency in Swift, particularly for building macOS/iOS tools or applications

• Experience applying GenAI/LLM technologies to software development, including prompt engineering, code generation workflows, and AI-assisted development best practices

• Hands-on experience with large-scale data processing frameworks (Apache Spark, Databricks, pandas) or distributed systems

• Experience building Slack bots, integrations, or custom ChatOps workflows

• Familiarity with Kubernetes, container orchestration, and cloud-native application development

• Experience with web services, RESTful API design, and database systems

• Knowledge of security concepts: threat modeling, detection engineering, incident response, or security operations

• Experience building developer tools, internal platforms, or infrastructure-as-code solutions

• Active participation in technical communities: conference talks, blog posts, open-source maintainer, or published technical writing

• Track record of rapidly prototyping solutions and iterating based on user feedback

• Understanding of the challenges of building detection systems at scale (signal-to-noise ratios, false positive management, alert fatigue)

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .