Summary Posted: Oct 13, 2023 Role Number: 200511426 Apple is a place where extraordinary people gather to do their best work. Together we create products and experiences people once couldn’t have envisioned — and now can’t imagine living without. If you’re excited by the idea of making an impact, joining a team where we pride ourselves in being one of the most diverse and expansive companies in the world, a career with Apple might be your dream job!
If you wish to play a part in revolutionizing how people use their computers and mobile devices; build ground breaking technology for algorithmic search, machine learning, natural language processing & artificial intelligence; and work with the teams building the most scalable big-data systems in existence. This is the role for you! Key Qualifications Key Qualifications 2 or more years of experience in a Site Reliability Engineering, observability or ML Ops focused role supporting internet services and distributed systems Proficiency in using Go, Python or other higher-level languages for automation, observability and infrastructure management Experience building and supporting telemetry, observability and logging solutions for incident, cost and performance management Experience with infrastructure or dashboards as code and provisioning tools for Kubernetes and cloud based services Working knowledge of open source or commercial monitoring and observability frameworks and platforms such as ELK, Splunk, OpenCensus, Datadog Working knowledge of ML Ops systems and tools advantageous Good interpersonal skills shown through previous projects or assignments Description Description - Monitor production, staging and development environments for a myriad of services in an agile and dynamic organization.
- Employ metrics for data driven solutions for reliability, performance and service insights
- Design, implement, and extend automation tools for monitoring, logging, ML and data processing pipelines
- Strive to improve the stability, security, efficiency and scalability of production systems by applying software engineering practices.
- Resolve future needs for capacity and investigate new features and products.
- Strong problem solving ability will be used daily; a successful Engineer will take steps on self-initiative basis to isolate issues and resolve root cause through investigative analysis.
- Responsible for writing justifications, incident reports, best practices documentation and solution specifications. Education & Experience Education & Experience Bachelor Degree in Computer Science or Computer Engineering or equivalent Additional Requirements Additional Requirements
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