Aiml - Site Reliability Engineer, Ml Platform &

2 weeks ago

Singapore NodeFlair Full time

**Job Summary**:
**Salary**
S$10,000 - S$20,000 / Monthly

**Job Type**

**Seniority**

Senior

**Years of Experience**
At least 10 years

**Tech Stacks**
Go play Datadog ELK Splunk Kubernetes Python

**Job Summary**:
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**:

- 10 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**:

- 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.
- 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**:
Bachelor Degree in Computer Science or Computer Engineering or equivalent

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