{"title": "AIML - Sr. Software Engineer - AIML Observability", "summary": "Are you a passionate software engineer looking to design and build cloud-native solutions at Apple-scale for Siri, Search and other AIML products?\nWe're inventing the future of smart observability systems that leverage cloud-first engineering, machine learning and open source. Our solutions will help billions of users enjoy the smartest and best user experiences on their favorite Apple devices.\nWe are looking for a cloud-tested engineering leader who will bring their passion for infrastructure and distributed systems to build our world-class cloud-native observability platforms and services.\nJoin our team!", "description": "Our observability solutions employ a variety of systems and services. We use existing and open-source systems when possible, but do not shy away from building new solutions ourselves. In this role, you will collaborate with a team of engineers to lead the design and development of observability solutions for AIML products and infrastructure. You will be responsible for providing technical guidance, sharing observability know-how, leveraging AI pipelines and mentoring the team to develop and deliver best-of-class solutions.", "key_qualifications": "", "preferred_qualifications": "5+ years engineering experience and strong background in computer science: distributed systems, algorithms and data structures, APIs and highly-scalable, reliable systems and microservices\nStrong coding skills in Go, Java, C/C++ or Rust\nDemonstrated proficiency in AWS services such as EKS / Kubernetes, Amazon S3, networking, database and monitoring services\nProven experience in delivering very large-scale cloud-native distributed systems and platform infrastructure\nExcellent communication skills both oral and written\nExcellent interpersonal skills for collaborating across teams, stakeholders, and open source collaborators\nBonus if you have experience with:\nCloud infrastructure service provider, or an extensive \u201cprivate cloud\u201d environment\nTime-series based observability systems, distributed tracing, logging and profiling at scale and telemetry data collection frameworks\nLarge-scale alert management and notification systems\nMachine learning and NLP algorithms, LLMs, AIOps\nActive open source project contributions", "education_experience": "", "additional_requirements": "", "pay_benefits": "At 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 $175,800 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.\n\nApple employees also have the opportunity to become an Apple shareholder through participation in Apple\u2019s 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\u2019s Employee Stock Purchase Plan. You\u2019ll 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 \u2014 including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.\n\nNote: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.", "company": "apple"}