Software Engineer

12 Minutes ago • 3 Years + • $147,400 PA - $220,900 PA

Software Development & Engineering

Job Description

At Apple, the Ads Engineering team builds privacy-preserving, user-centric, and scalable ad technology. This role involves developing foundational pieces for Apple Ad's next-generation systems, implementing low-latency, highly-available services in a cloud environment, and designing performant systems for rapid growth. The team collaborates with cross-functional teams to support diverse Ads use cases, focusing on distributed systems, large-scale data infrastructure, LLMs, and Generative AI.

Good To Have:

5+ years of experience in software engineering
Proficiency in Java
Prior experience in advertising industry is a plus
Master's degree preferred

Must Have:

Build the foundational pieces of the next generation of Apple Ad’s systems
Implement low latency, highly - available, high volume internal and external facing services in a cloud environment
Design and implement performant services created with the right principles to support rapid growth with minimal operational overheads
Collaborate with cross functional teams including Product Management, Data, SRE, etc. to design and implement systems that can handle a variety of Ads use cases
3 or more years of industry experience building scalable micro services or data driven platforms
Strong computer science fundamentals
Prior experience with OOPS programming (eg., Java/C++ or equivalent)
Familiarity with cloud paradigms ( e.g AWS or GCP )
Expertise in building backend distributed systems
Experience with creating solutions using public cloud technologies and APIs
Strong understanding of Micro-service design and high-scale performance tuning
Expertise in relational and non relational datastore
Proficiency in data processing technologies (e.g Kafka, Spark, Flink )
Strong problem solving and debugging skills
A desire to work in a fast-paced work environment
Bachelor's degree in Computer Science/Engineering discipline or equivalent

Perks:

Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Discretionary restricted stock unit awards
Purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
Comprehensive medical and dental coverage
Retirement benefits
Range of discounted products and free services
Reimbursement for certain educational expenses (including tuition) for formal education related to advancing your career at Apple
Eligible for discretionary bonuses or commission payments
Relocation assistance

Add these skills to join the top 1% applicants for this job

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At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.

Ads Engineering builds ad tech the Apple way—privacy-preserving, user-centric, and built to scale. Our infrastructure supports massive real-time demand with low latency, precision, and global reach. Our work spans distributed systems, large-scale data infrastructure, LLMs, and Generative AI. We design and build best of breed systems for dealing with our complex and ever-growing platform needs that help deliver highly optimized advertising content to consumers.

Build the foundational pieces of the next generation of Apple Ad’s systems
Implement low latency, highly - available, high volume internal and external facing services in a cloud environment.
Design and implement performant services created with the right principles to support rapid growth with minimal operational overheads
Collaborate with cross functional teams including Product Management, Data, SRE, etc. to design and implement systems that can handle a variety of Ads use cases.

3 or more years of industry experience building scalable micro services or data driven platforms.
Strong computer science fundamentals.
Prior experience with OOPS programming (eg., Java/C++ or equivalent)
Familiarity with cloud paradigms ( e.g AWS or GCP )
Expertise in building backend distributed systems
Experience with creating solutions using public cloud technologies and APIs
Strong understanding of Micro-service design and high-scale performance tuning
Expertise in relational and non relational datastore
Proficiency in data processing technologies (e.g Kafka, Spark, Flink )
Strong problem solving and debugging skills.
A desire to work in a fast-paced work environment.
Bachelor's degree in Computer Science/Engineering discipline or equivalent. Master's degree preferred.