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Cloud Security Engineer jobs at Apple in United States, New York
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52 jobs found
26.08.2025
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Apple Software Engineer Data Engineering United States, New York, New York
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3+ years of industry experience building scalable data pipelines and data platforms. Strong computer science and data engineering fundamentals. Expertise in programming languages such as Python/Java/Scala. Expertise in NoSQL datastores...
Description:
You should have 3+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!
- Engineer secure and scalable data processing systems across different execution contexts such as real-time, near real-time, and batch using Spark, Hadoop, Kafka, Cassandra and beyond.
- 3+ years of industry experience building scalable data pipelines and data platforms
- Strong computer science and data engineering fundamentals
- Expertise in programming languages such as Python/Java/Scala
- Expertise in NoSQL datastores (e.g. Cassandra, Keyspaces, ElastiCache)
- Expertise in relational databases and SQL
- Expertise in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)
- Experience building and scaling systems on premise and in the cloud
- Strong technical skills with proven experience developing and supporting scalable data infrastructure
- Ability to communicate effectively with multi-functional technical and non-technical teams
- Prior experience in advertising industry is a huge plus!
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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25.08.2025
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Apple Software Engineer Apple Ads United States, New York, New York
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Bachelor's degree in Computer Science or equivalent is required. 3 or more years of industry experience building scalable micro services or data driven platforms. Strong computer science fundamentals. Prior experience...
Description:
You will
- Bachelor's degree in Computer Science or equivalent is required
- 3 or more years of industry experience building scalable micro services or data driven platforms.
- Strong computer science fundamentals.
- Prior experience with Java/Scala/C++ or equivalent.
- Expertise in NoSQL datastores ( e.g Cassandra or DynamoDB )
- Proficiency in data processing technologies (e.g Kafka, Spark, Flink )
- Experience crafting scalable micro services.
- Familiarity with cloud paradigms ( e.g AWS or GCP )
- Proven ability to work on sophisticated problems and systems
- Strong problem solving and debugging skills.
- Have the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
- A desire to work in a fast-paced and challenging work environment.
- Familiarity with Advertising Technology is a plus
- Master's degree is preferred
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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25.08.2025
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Apple Cloud Security Engineer United States, New York, New York
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5+ years manually penetration testing server application and infrastructure-as-code software with a focus on identifying vulnerabilities that automated tools miss. Manually audit the Java and/or Kotlin source code of web...
Description:
As a Security Engineer on our team, you'll be at the forefront of protecting customers by conducting continuous, in-depth security assessments. You will be challenged to solve complex technical problems, automate repetitive tasks, and influence the security posture of Apple services. You'll collaborate directly with internal teams to solve challenging software security problems and ensure secure development practices.
- 5+ years manually penetration testing server application and infrastructure-as-code software with a focus on identifying vulnerabilities that automated tools miss
- Manually audit the Java and/or Kotlin source code of web services and software authored in house by Apple
- Create and implement threat mitigation plans to address identified vulnerabilities and improve the overall security posture of Apple services
- Possess a strong desire to cultivate talent and mentor pentesters with various skill levels
- Experience in a DevOps culture
- Integrating security into teams that use CI/CD to deploy code quickly
- Conducting penetration tests of large scale AWS deployments
- Security code review of services written in either Kotlin or Go
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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24.08.2025
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Apple Natural Language Generation Engineer Wallet & Payments United States, New York, New York
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MS or PhD in Computer Science or related field with at least 2 years of industry experience. Strong Python programming skills, with experience developing production-quality Python modules. Solid background in...
Description:
As a Machine Learning Engineer on our team, you will build and iteratively refine model pipelines that enable rich text experiences on Wallet products. You will conduct experiments and create prototypes for new approaches to improve the quality of our generative language models, translating customer needs into analytical solution. You will work hand in hand with software engineers, data scientists, and product partners. Finally, you will implement the building blocks and infrastructure that bring these innovations into our production pipelines, and contribute evaluate metrics for measuring forward progress.KEY RESPONSIBILITIES- Development and maintenance of modeling pipelines that are deployed to production and reach global scale- Definition of robust automated evaluation metrics to enable continuous model improvements- Failure analysis to understand shortcomings and model sensitivities- Curation and synthesis of representative training and evaluation data- Implementation of experiments and simulations to assess proposed model changes
- MS or PhD in Computer Science or related field with at least 2 years of industry experience
- Strong Python programming skills, with experience developing production-quality Python modules
- Solid background in machine learning, data science, natural language processing, or statistics
- Experience building and maintaining model pipelines end-to-end, from data curation to evaluation
- Ability to design and implement experiments that bring NLP research ideas into production
- Familiarity with LLMs, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG
- Excellent written and verbal communication skills
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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24.08.2025
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Apple Principal Multi-Cloud Solutions Architect United States, New York, New York
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Experience designing and deploying scalable solutions architectures, with a focus on distributed systems and cloud-native technologies. Experience with major cloud platforms (AWS, GCP, Azure) and their core services, including security...
Description:
In this role, you will help Apple engineering teams design and implement solutions for sophisticated technical challenges. You will provide strategic direction, mitigate risks, and deliver solutions tailored to business needs. Whether migrating existing workloads or building advanced cloud-native architectures, you will play a critical role in improving agility, enhancing security, optimizing costs, and ensuring efficient cloud utilization. You'll bring a balance of technical depth and strong interpersonal skills to drive collaboration across the organization. You will work closely with engineering, infrastructure, platform, and operations teams to align on architecture and best practices. Your focus will be on guiding teams through key architectural decisions and ensuring the effective use of cloud computing services to maximize business value.
- Experience designing and deploying scalable solutions architectures, with a focus on distributed systems and cloud-native technologies.
- Experience with major cloud platforms (AWS, GCP, Azure) and their core services, including security and cost optimization best practices.
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) for pod-based service deployment and operations.
- Experience with cloud migrations, including refactoring existing workloads and designing new cloud-native applications.
- Bachelor's Degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
- Advanced Degree (Master’s or PhD) in Computer Science, Engineering, or a related discipline.
- Experience leading technical engagements and guiding teams through complex cloud transformations.
- Experience as a solutions architect covering major cloud service providers and their infrastructure and platform service portfolios.
- Experience optimizing cloud infrastructure to balance cost, security, and performance while meeting utilization targets.
- Ability to analyze large data sets to provide insights that drive architectural and operational decisions.
- Strong problem-solving and risk mitigation skills, with the ability to assess trade-offs in architectural decisions.
- Ability to collaborate effectively across multiple teams to drive alignment on architecture and operations.
- Excellent communication and consulting skills, with the ability to influence stakeholders at all levels.
- Ability to quickly learn unfamiliar technologies and identify key nuances to tailor solutions for business needs.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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24.08.2025
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Apple Cloud Traffic Engineer Apple Pay United States, New York, New York
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Knowledge of load balancing, service mesh, and edge deployments. Familiarity with Networking, Security, Logging, and Application Monitoring. Maintaining customer commitments. Navigating the complexities of the business and service reliability. Excellent...
Description:
We are a team of engineers that run internal/external traffic in a complex and distributed environment with strict privacy and security requirements. We are responsible for the modernization, reliability and observability of Wallets, Payments and Commerce traffic infrastructure.
- Knowledge of load balancing, service mesh, and edge deployments
- Familiarity with Networking, Security, Logging, and Application Monitoring
- Maintaining customer commitments
- Navigating the complexities of the business and service reliability
- Excellent verbal and written communications skills
- Ability to coach & mentor other ICs
- Degree in computer science, related field, or 10 years of equivalent work experience is highly desirable
- Developing in Go, Python, or similar programming languages
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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03.08.2025
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Apple Senior Machine Learning Engineer United States, New York, New York
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Proven track record of designing and scaling robust ML infrastructure and frameworks that support both training and inference across teams and orgs. Experience of model quantization, tensor parallelism, and inference...
Description:
- Proven track record of designing and scaling robust ML infrastructure and frameworks that support both training and inference across teams and orgs.
- Experience of model quantization, tensor parallelism, and inference optimizations (e.g ONNX Runtime, TensorRT, vLLM). Actively led evaluation and adoption of such technologies.
- Recognized as a technical leader and mentor, supports the growth of engineers through code/design reviews, working groups, and internal knowledge sharing.
- Experience building machine learning models using frameworks like PyTorch, TensorFlow. Provides technical guidance and mentorship on best practices.
- Prior experience in advertising industry, federated learning and privacy-preserving ML techniques.
- Led development of foundational AI/ML platforms and tooling including Feature Stores, Vector DB to accelerate team productivity and model lifecycle management.
- Experience working on distributed systems (e.g Ray, Spark, Kubernetes).
- Experience performance tuning & trouble-shooting.
- Pride in building tools to automate routine tasks, organized & detailed.
- Passionate about developer experience builds abstractions, automation tools, and reusable components to streamline ML workflows and reduce operational burden.
- Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
- Results oriented with a desire to work in a fast-paced and collaborative work environment.
- PhD/MS/BS in computer science or related field with 8+ years of experience in machine learning and strong software engineering skills.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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These jobs might be a good fit
Share
3+ years of industry experience building scalable data pipelines and data platforms. Strong computer science and data engineering fundamentals. Expertise in programming languages such as Python/Java/Scala. Expertise in NoSQL datastores...
Description:
You should have 3+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!
- Engineer secure and scalable data processing systems across different execution contexts such as real-time, near real-time, and batch using Spark, Hadoop, Kafka, Cassandra and beyond.
- 3+ years of industry experience building scalable data pipelines and data platforms
- Strong computer science and data engineering fundamentals
- Expertise in programming languages such as Python/Java/Scala
- Expertise in NoSQL datastores (e.g. Cassandra, Keyspaces, ElastiCache)
- Expertise in relational databases and SQL
- Expertise in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)
- Experience building and scaling systems on premise and in the cloud
- Strong technical skills with proven experience developing and supporting scalable data infrastructure
- Ability to communicate effectively with multi-functional technical and non-technical teams
- Prior experience in advertising industry is a huge plus!
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
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