DevOpsBackend Software Engineer
Job Location:
Job Location:
San Diego, CA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
5 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Are you passionate about first-class infrastructure and software development and eager to apply your expertise to solve real-world problems at Apples incredible scale Do you want to see your work have direct impact on web services applications and deployments used by thousands of engineers every dayCome 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 Apples hardware product development teams helping bring amazing groundbreaking products and innovations to life. nnWe are the Product Integrity AI/ML team and we build and deliver software supporting the development of Apples 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 were building the most effective solutions possible.
Design build maintain and manage cloud infrastructure platforms using IaC to service cutting edge machine learning workflowsnCollaborate with ML engineering partners to integrate and operationalize hosted models into our services building reliable pipelines for model evaluation A/B testing and performance benchmarkingnDevelop and maintain infrastructure for GenAI-powered evaluation and testing workflows ensuring our internal tooling can assess and compare models across different parts of our systems nWrite high-quality code thats testable scalable and able to be maintained by othersnWork closely with software developers in our team providing infrastructure expertise cloud integration best-practices and service architecture guidancenCollaborate across teams and organizations to distill complex requirements into a concrete action plannLead design reviews author documentation and give meaningful feedback on the designs of peersnRepresent your work to the team and leadership through demos presentations and retrospectives
3 years experience in SRE/DevOps systems engineering build/release/deployment and/or automationnProficient in implementing applications in private/public cloud infrastructure and container technologies including but not limited to: Kubernetes Docker database platforms and event/data pipelines and model-serving or API integration patternsnExperience designing building and managing CI/CD pipelinesnExperience with networking load balancers such as HAProxy NGINX ability to write applications in a high-level programming language like Python Ruby Java written and verbal communication skills to both technical and non-technical audiencesnBachelors Degree in Computer Science Computer Engineering related field or equivalent work experience
Experience building scalable maintainable robust web-services and applicationsnAbility to architect complex systems in a reusable modular waynExperience building infrastructure to support Generative AI services including model integration evaluation pipelines and A/B testing frameworksnFamiliarity with MLOps practices such as model versioning pipeline orchestration experiment tracking and performance monitoring in production environmentsnCuriosity to learn new technologies and passion for sharing that knowledge with othersnMasters degree in Computer Science Computer Engineering related field or equivalent work experience
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 were building the most effective solutions possible.
Design build maintain and manage cloud infrastructure platforms using IaC to service cutting edge machine learning workflowsnCollaborate with ML engineering partners to integrate and operationalize hosted models into our services building reliable pipelines for model evaluation A/B testing and performance benchmarkingnDevelop and maintain infrastructure for GenAI-powered evaluation and testing workflows ensuring our internal tooling can assess and compare models across different parts of our systems nWrite high-quality code thats testable scalable and able to be maintained by othersnWork closely with software developers in our team providing infrastructure expertise cloud integration best-practices and service architecture guidancenCollaborate across teams and organizations to distill complex requirements into a concrete action plannLead design reviews author documentation and give meaningful feedback on the designs of peersnRepresent your work to the team and leadership through demos presentations and retrospectives
3 years experience in SRE/DevOps systems engineering build/release/deployment and/or automationnProficient in implementing applications in private/public cloud infrastructure and container technologies including but not limited to: Kubernetes Docker database platforms and event/data pipelines and model-serving or API integration patternsnExperience designing building and managing CI/CD pipelinesnExperience with networking load balancers such as HAProxy NGINX ability to write applications in a high-level programming language like Python Ruby Java written and verbal communication skills to both technical and non-technical audiencesnBachelors Degree in Computer Science Computer Engineering related field or equivalent work experience
Experience building scalable maintainable robust web-services and applicationsnAbility to architect complex systems in a reusable modular waynExperience building infrastructure to support Generative AI services including model integration evaluation pipelines and A/B testing frameworksnFamiliarity with MLOps practices such as model versioning pipeline orchestration experiment tracking and performance monitoring in production environmentsnCuriosity to learn new technologies and passion for sharing that knowledge with othersnMasters degree in Computer Science Computer Engineering related field or equivalent work experience
Required Experience:
IC
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
