Address
Form of workSummary
Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business! Our teams use the latest in open source technology and as committers on some of these projects, we are pushing the envelope! Working with multiple lines of business we manage many streams of Apple-scale data. We bring it all together and unleash business value.
We do all this with an outstanding group of software engineers, data scientists, dev-ops engineers and managers. We are looking for a talented and dedicated engineers to join our team to bring passion for infrastructure and distributed systems, to build world-class platforms/products at a very large scale across cloud environments.
Key Qualifications
5+ years of experience in SRE/Devops
Extensive experience in managing the applications on AWS & Kubernetes
Strong Experience in Infrastructure templating tools like CloudFormation, Terraform
Deep Understanding of Networking concepts on Cloud, like VPCs, Route 53, Security Groups, NLB/ALB on AWS, Kubernetes network model
Experience in building CI/CD pipelines for large scale application on AWS & Kubernetes
Strong background in config management tools like Ansible/Salt/Chef/Puppet.
Strong proficiency with Helm and Kustomize for managing Kubernetes applications and configurations.
Experience in GitOps based deployment tools like Spinnaker/Flux/ArgoCD
Experience in enabling AutoScaling for both VM & Containerized workloads
Deep understanding of Object Oriented Programming skills like Java.
Experience in Performance tuning JVMs & Operating Systems like Linux
Strong programming skills in Unix & Python
Good understanding of Data Security for Cloud based applications
Excellent analytical & problem solving skills
Description
Come join Apple's Applied Machine Learning Team, as a Senior Cloud DevOps/ Site Reliability Engineer, to help build & support innovative software applications. The ideal candidates should have a strong background in setting up and supporting the infrastructure for large scale big data applications in public cloud like AWS.
The main responsibilities for this position include:
Build & Support CI/CD tools to port & manage applications on AWS & Kubernetes
Ability to understand the application requirements (Performance, Security, Scalability etc.) and assess the right services/topology on AWS & Kubernetes
Deploy & Support applications onto Kubernetes based environments - On-prem K8s, AWS EKS.
Build automation to enable self-healing systems
Build tools to monitor & alert the high performance and low latency applications on AWS
Ability to troubleshoot application specific, core network, system & performance issues.
Involvement in challenging and fast paced projects supporting Apple's business by delivering innovative solutions.
Monitor production, staging, test and development environments for a myriad of applications in an agile and multifaceted organization.
The candidate is expected to be self-motivated, proactive, and a solution-oriented individual.
Education & Experience
BS in computer science with 7-10 years or MS plus 5-7 years experience or related experience
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more
Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business! Our teams use the latest in open source technology and as committers on some of these projects, we are pushing the envelope! Working with multiple lines of business we manage many streams of Apple-scale data. We bring it all together and unleash business value.
We do all this with an outstanding group of software engineers, data scientists, dev-ops engineers and managers. We are looking for a talented and dedicated engineers to join our team to bring passion for infrastructure and distributed systems, to build world-class platforms/products at a very large scale across cloud environments.
Key Qualifications
5+ years of experience in SRE/Devops
Extensive experience in managing the applications on AWS & Kubernetes
Strong Experience in Infrastructure templating tools like CloudFormation, Terraform
Deep Understanding of Networking concepts on Cloud, like VPCs, Route 53, Security Groups, NLB/ALB on AWS, Kubernetes network model
Experience in building CI/CD pipelines for large scale application on AWS & Kubernetes
Strong background in config management tools like Ansible/Salt/Chef/Puppet.
Strong proficiency with Helm and Kustomize for managing Kubernetes applications and configurations.
Experience in GitOps based deployment tools like Spinnaker/Flux/ArgoCD
Experience in enabling AutoScaling for both VM & Containerized workloads
Deep understanding of Object Oriented Programming skills like Java.
Experience in Performance tuning JVMs & Operating Systems like Linux
Strong programming skills in Unix & Python
Good understanding of Data Security for Cloud based applications
Excellent analytical & problem solving skills
Description
Come join Apple's Applied Machine Learning Team, as a Senior Cloud DevOps/ Site Reliability Engineer, to help build & support innovative software applications. The ideal candidates should have a strong background in setting up and supporting the infrastructure for large scale big data applications in public cloud like AWS.
The main responsibilities for this position include:
Build & Support CI/CD tools to port & manage applications on AWS & Kubernetes
Ability to understand the application requirements (Performance, Security, Scalability etc.) and assess the right services/topology on AWS & Kubernetes
Deploy & Support applications onto Kubernetes based environments - On-prem K8s, AWS EKS.
Build automation to enable self-healing systems
Build tools to monitor & alert the high performance and low latency applications on AWS
Ability to troubleshoot application specific, core network, system & performance issues.
Involvement in challenging and fast paced projects supporting Apple's business by delivering innovative solutions.
Monitor production, staging, test and development environments for a myriad of applications in an agile and multifaceted organization.
The candidate is expected to be self-motivated, proactive, and a solution-oriented individual.
Education & Experience
BS in computer science with 7-10 years or MS plus 5-7 years experience or related experience
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more
