Senior Software Engineer, Internal Tooling - Apple Ads
Apple
Internship
On-site
Austin, Texas, United States
The Product Health team sits at the intersection of engineering and operations, owning the tooling and workflows that power production support across Apple Ads. Our team is the escalation point for complex issues that originate from advertisers, internal monitoring, or customer-facing teams. We don’t just react — we build systems that proactively identify issues, accelerate diagnosis, and reduce dependence on upstream teams.
The person in this role will:
- Architect and build internal tools for observability, triage, and debugging, used across Apple Ads support and engineering teams.
- Design solutions that automate complex diagnostics and detect anomalies before they impact customers.
- Partner with business operations and engineering stakeholders to gather requirements and ensure tools are effective and adopted.
- Write clean, maintainable code and produce clear documentation for internal users.
- Provide guidance to teammates building lightweight tools, including mentorship and code reviews.
- Shape the tooling roadmap, contribute ideas, and drive long-term strategy for support automation and scale.
- Explore AI/ML or other automation technologies that improve response time and reduce repetitive work.
- Integrate with — and contribute to — Apple internal solutions from other parts of the company
- 5+ years of software engineering experience, including designing and building internal tools.
- Proficiency in Java or Python, with strong systems thinking and attention to reliability.
- Experience building tools for support, observability, triage, or production diagnostics.
- Familiarity with logging and monitoring tools such as Splunk, Datadog, or similar.
- Ability to collaborate cross-functionally and communicate effectively with technical and non-technical partners.
- Strong written communication skills and a commitment to clear documentation.
- Bachelor’s degree in Computer Science or equivalent practical experience.
- Passion for customer privacy
- Background in technical support, QE, DevOps, or production operations roles.
- Exposure to AI/ML-powered tooling, especially in internal software workflows.
- Experience with AWS, Kubernetes, containerized deployment, or CI/CD environments.
- Familiarity with mobile advertising platforms, ad tech APIs, or developer-facing systems.
- Demonstrated ability to mentor peers, contribute to technical roadmaps, and lead internal initiatives.