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Jobsbridge

Cloud Service Automation Engineer

Full-Time
No salary listed
Senior
Bachelor's
San Ramon, CA, USA
In Person

About the job

Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, or a related field.
  • A minimum of 5 years of experience in software development, cloud or online service engineering and automation, or cloud or online service operations.
  • Deep experience with at least one third-generation automation and configuration management solution, such as Chef.
  • Advanced scripting skills using Python and Bash.
  • Experience implementing monitoring tools such as Nagios, Graphite, or Zabbix.
  • Experience with RabbitMQ, PostgreSQL, Redis, ELK, Chef, Cloud Foundry, Bash, and Amazon Web Services.
Responsibilities
  • Engineer the Client Industrial Cloud infrastructure framework in support of the Predix platform, focusing on automated deployment, monitoring, and remediation capabilities for cloud services at web scale in fully virtualized infrastructure-as-a-service and platform-as-a-service environments.
  • Automate delivery of cloud-based solutions built on the Predix platform and contribute to product requirements and the common operating infrastructure for monitoring, high availability, performance, security, and availability.
  • Build a fully automated, highly elastic cloud orchestration framework across multiple infrastructure-as-a-service providers, including Amazon Web Services, OpenStack, and Azure, using deployment automation and configuration management frameworks such as Chef.
  • Implement and execute automated monitoring and remediation services to ensure service availability and performance at scale.
  • Implement common operational infrastructure in distributed cloud environments, including security, encryption, authentication, authorization, and accounting; logging and log aggregation; and load balancing and Domain Name System services.
  • Engineer requirements for as-a-service offerings in collaboration with platform and services development teams.
  • Define and automate procedures for ongoing operations of production services.
  • Use advanced Python and Bash scripting to enable a DevOps model.
  • Collaborate with cross-functional stakeholders.
  • Provide timely and accurate estimates for deliverables.

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