AIML - Site Reliability Engineer, ML Platform & Technology
at Apple
Singapore, Southeast, Singapore -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 04 Jul, 2024 | Not Specified | 07 Apr, 2024 | N/A | Dashboards,Internet Services,Logging,Infrastructure,Open Source,Computer Science,Reliability Engineering,Platforms,Automation,Kubernetes,Computer Engineering,Splunk,Go,Python,Infrastructure Management,Cloud,Interpersonal Skills | No | No |
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Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
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Description:
SUMMARY
Posted: 3 Mar 2024
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
- 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 advantageousGood interpersonal skills shown through previous projects or assignments
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
Bachelor Degree in Computer Science or Computer Engineering or equivalent
ADDITIONAL REQUIREMENTS
Additional Requirement
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Computer science or computer engineering or equivalent
Proficient
1
Singapore, Singapore