Senior Software Engineer, Device Services Infrastructure
Apple - San Diego, United States of America
Posted Apr 6, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Software Engineer, Device Services Infrastructure San Diego, United States of America The Device Services (DS) Infrastructure team is seeking a technical leader and senior-level software engineer to build the software systems that power how we test and validate Apple's products at scale. We manage a fleet of thousands of Apple devices used in a centralized, automated test system which is a critical tool used by engineers developing for iOS, watchOS, tvOS, and macOS. In this role, you will lead the architecture and development of automation platforms, infrastructure services, and tools that enable efficient operation of device labs across Apple. You will partner closely with lab operations teams to ensure that the right tools and processes are established to support systematic operations at scale. We are looking for a highly motivated technical leader who thrives on building infrastructure that solves real operational challenges. You must enjoy working on multiple concurrent projects in a fast-paced environment that fosters growth, teamwork and innovation. Some of your day-to-day activities will include: - Leading the architecture and development of automation systems for device provisioning, testing, and orchestration across large-scale lab environments - Designing and building backend services, APIs, and distributed systems for device management and lab operations - Partnering with lab operations teams to understand workflows and opportunities for automation - Building data systems and analytics platforms that provide visibility into lab utilization, device health, and operational metrics - Driving infrastructure improvements including deployment pipelines, monitoring, alerting, and reliability practices - Driving continual improvement
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