Posted: Nov 7, 2023
Role Number:200515360
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. We use the latest in open source technology and as committers on some of these projects, our team looks to push the envelope! Working with multiple lines of business, we handle 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, SRE/MLOps 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
Description
Join 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. RESPONSIBILITIES: - Focus on automation and providing insight for the Infrastructure service reliability and availability through extensible services & platforms. - Design, implement and maintain software & tools for large-scale distributed systems especially Big Data stack of technologies like Iceberg, S3, HDFS, Hive, Ranger. - Experience in operating and deploying container orchestration systems like Kubernetes &/ YARN. - Utilize core computer science data structures, algorithms, and software tools in one of the languages - Python, Golang, Java or other JVM languages. - Experience in managing data pipelines using Kafka, Flink, Spark, Airflow & Jupyter. - Work with platform tools and automation systems including deployment automation practices especially across multi-AZ or DC infrastructure using CM tools like Saltstack, Ansible, Terraform, etc. - Plan, design & implement business continuity, capacity management & observability across all services & levels of the stack. - Build & Support CI/CD tools to port & manage applications on AWS & Kubernetes - Build automation to enable self-healing systems. - Trace SLIs for meeting the agreed upon SLAs. - Ensure compliance with appropriate security standards. - Deploy and debug systems built for horizontally scalable multi-tenant deployments. - Solve and find workarounds for issues in customer-impacting, production systems. - 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
Additional Requirements
Pay & Benefits