Posted: Aug 8, 2022
Role Number:200409821 If you wish to play a part in revolutionizing how people use their computers and mobile devices; build groundbreaking 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
Experience supporting 24*7 internet-facing services in distributed cloud and container running production environments.
Ability to program in Go, Python or other higher-level languages for automation and integration with APIs highly preferred.
Experience with infrastructure as code and orchestration tools for Kubernetes and cloud based services.
Working knowledge of Linux, networking, security, multi-tier applications and micro-services.
Experience with telemetry, implementing observability and logging pipelines with tools such as Prometheus, Splunk and Grafana.
Exposure to deploying software releases and supporting CI/CD pipelines 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. - Strive to improve the stability, security, efficiency and scalability of production systems by applying software engineering practices - Design, implement, and extend automation tools for infrastructure, application and container management - Resolve future needs for capacity and investigate new products and/or features. - Strong problem solving ability will be used daily; a successful Engineer will take steps to isolate issues and resolve root cause through investigative analysis. - You should be an independent problem-solver who is focused and capable of exhibiting deftness to handle multiple simultaneous competing priorities and deliver solutions in a timely manner. Responsible for writing justifications, incident reports, best practices/standards documentation and solution specifications.
Education & Experience
BS in Computer Science or equivalent degree.
Additional Requirements
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