Cloud Ops / SRE, Applied Machine Learning

Cloud Ops / SRE, Applied Machine LearningSunnyvale,California,United StatesCorporate FunctionsApple’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. We use the latest in open source technology and as committers on some of these projects, we are opening up the boundaries. Working with multiple lines of business we manage many streams of Apple-scale data. We bring it all together and spark business value. We do all this with an exceptional group of software engineers, data scientists, dev-ops engineers and managers. We are looking for a hardworking 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.DescriptionJoin Apple's Applied Machine Learning Team, as a Senior Software Engineer, to build & support innovative software applications. Candidates should have strong background in setting up and supporting the infrastructure for large scale big data applications in public cloud like AWS or GCP. THE MAIN RESPONSIBILITIES FOR THIS POSITION INCLUDE: Build & Support CI/CD tools to port & manage applications on AWS/GCP & Kubernetes Ability to understand the application requirements (Performance, Security, Scalability etc.) and assess the right services/topology on AWS/GCP & Kubernetes Deploy & Support applications onto Kubernetes based environments - On-prim K8s/AWS EKS/GCP GKE. Build automation to enable self-healing systems Build tools to monitor high performance & alert the low latency applications on AWS/GCP 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 dynamic organization. The candidate is expected to be self-motivated, proactive, and a solution-oriented individual.Minimum Qualifications5+ years of experience in SRE/DevOpsBachelors with 4+ years or MS plus 2+ years experience or related experience.Strong programming skills in Unix & PythonExtensive experience in managing the applications on AWS/GCP & KubernetesStrong Experience in Infrastructure templating tools like CloudFormation, TerraformStrong proficiency with Helm or Kustomize for managing Kubernetes applications and configurations.Key QualificationsPreferred QualificationsBS in computer science with 4+ years or MS plus 2+ years experience or related experience.Practical understanding of Networking concepts on Cloud, like VPCs, DNS, Security Groups, Kubernetes network modelExperience in building CI/CD pipelines for large scale application on AWS/GCP & KubernetesExperience in GitOps based deployment tools like Spinnaker/Flux/ArgoCDExperience in enabling AutoScaling for both VM & Containerized workloadsDeep understanding of Object Oriented Programming skills like Java.Experience in Performance tuning JVMs & Operating Systems like LinuxGood understanding of Data Security on Cloud based applicationsExcellent analytical & problem solving skillsExposure to Large Language Models, Vector Databases, RAG, GenAI platforms like AWS Bedrock or GCP Vertex AI are preferred.Education & ExperienceAdditional RequirementsPay & BenefitsAt Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more ( about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.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. ( FooterApple 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 (Opens in a new window) .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 (Opens in a new window) .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 (opens in a new window) applicable in your area.Apple participates in the E-Verify program in certain locations as required by law. 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