DevOps/Backend Software Engineer
Apple - San Diego, United States of America
Posted Jan 27, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- 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
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
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- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
DevOps/Backend Software Engineer San Diego, United States of America Are you passionate about first-class infrastructure and software development, and eager to apply your expertise to solve real-world problems at Apple's incredible scale? Do you want to see your work have direct impact on web services, applications, and deployments used by thousands of engineers every day?Come join us in developing, shipping, and maintaining AI/ML and Generative AI services - including the infrastructure, evaluation pipelines, and integration workflows that provide cutting-edge features to support Apple's hardware product development teams, helping bring amazing, groundbreaking products and innovations to life. We are the Product Integrity AI/ML team, and we build and deliver software supporting the development of Apple's unparalleled hardware product line. Our software is used by both Apple engineers and third-party accessory manufacturers to develop and debug their systems, with high visibility throughout the company. As a DevOps/Backend Engineer in our team, you will design, implement, and manage the infrastructure that powers all of our services, tools, and apps. You will work with a diverse array of cross-functional partners throughout Apple on challenging projects incorporating Machine Learning, Generative AI, and MLOps - collaborating closely with ML engineering teams to integrate, evaluate, and operationalize models within our services. The services and software you craft will be instrumental in solving difficult challenges, providing data insights, and driving decision-making within Hardware Engineering and beyond. We move at a fast pace, iterate quickly, and work side-by-side with our customers to ensure we're building the most effective solutions
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