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DevOps Engineer (AWS)


This is a Full-time position in Salt Lake City, UT posted May 1, 2021.

Responsibilities Implement systems that are highly available, scalable, and self-healing. Work closely with Application Dev. Operations teams to provide fully automated deployment routines for Production (CICD) Monitoring system activity and tuning system parameters for optimal performance, configuring communications with other platformsnetworks, configuringmanaging system security, and maintaining current release levels and patch revision Work across functional (development, testing, deployment, systems infrastructure) and project teams to ensure continuous operation of all environments Manage, and maintain tools to automate operational processes. Work to continuously improve speed, efficiency and scalability of our systems and environments Work directly with agile Application Development teams to provide daily support aligned with a model of Continuous Delivery. Build and maintain appropriate log gathering, system monitoring, and reporting infrastructures Operate in a supporting role for the implementation and our customer support groups along with QA and Dev ndash requires availability 247 at times to load software updates, projects required to work during the maintenance windows and also in cases of an emergency. Qualifications 2+ years in various DevOpsSRESysOps roles 2+ Years in a DevOpsSRESysOps or 3+ years of professional enterprise development experience. 1+ year experience with containerizationorchestration technologies like Kubernetes, Docker, AWS EKS, AWS Fargate, Google Cloud Platform GKE, etc . Must be able to configure and support Docker containers deployment. 3+ years of Linux and Windows administrator experience. Scripting ability (Bash Shell, Python, Javascript) Must have an understanding of building and managing large-scale systems and application architectures Solid understanding of system performance and monitoring Must also have experience working in an agile development environment that requires a lot of communication and collaboration. Experience with configprovisioning tools like SALT, Chef, Puppet, Terraform, or Ansible in production environments with many nodes. Experience managing Enterprise production systems in at least one public cloud AWS, Google Cloud Platform, Azure AWS is preferred. Experience managing Kubernetes in a large Enterprise production environment Experience with messaging technologies such as RabbitMQ, Kafka, etc Experience with monitoring solutions Zabbix, Nagios or equivalent. Experience with various data technologies including relational and no relational databases Postgresql database knowledge preferred. Experience supporting Enterprise WildflyJboss application servers and java. Experience with VmwareVSphere virtualization or the privatepublic cloud is a plus.

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