Applied Systems, Inc., a worldwide leader in insurance technology, is currently searching for Linux DevOps Engineer to join our Cloud Services team. In this role, you will be responsible for installing, configuring, and administering Linux servers in a 24/7 Cloud environment. You will be responsible for deploying Kubernetes, and supporting Docker containers in a VMware environment. You will be responsible for writing scripts to automate maintenance and management tasks. You will define monitoring points and key performance metrics for alerting on critical infrastructure, and respond to escalated issues when required. Additional responsibilities include systems configurations, security, and supporting multiple teams in our environment (Software Development, QA, Tech Support, etc.).
Additional responsibilities include:
Implement systems that are highly available, scalable, and self-healing
Documenting standardized processes for system deployment and management
Work closely with Software Development & Operations teams to provide fully automated deployment routines for production
Monitoring system activity and tuning system parameters for optimal performance, configuring communications with other platforms/networks, configuring/managing 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 Development teams to provide daily support aligned with a model of CI/CD
Build and maintain appropriate log gathering, system monitoring, and reporting infrastructures
4+ years of experience in Linux administration, and VMware/vSphere in an AWS, Google Platform Cloud, Azure environment, or large scale private cloud environment
2+ years of experience in DevOps/SRE roles
1+ year of experience with containerization/orchestration using Kubernetes in a large enterprise product environment is preferred. Experience with other technology such as Docker, Rancher, Swarm, or Meso will also be considered.
Scripting experience in any scripting language including Perl, Python, Bash, etc.
Strong communication and collaboration skills for our Agile environment
Demonstrated experience with any of the following an asset:
Configuration/provisioning tools such as Chef, SALT, Puppet, Terraform, or Ansible
Knowledge of build automation and CI/CD processes and tools such as Git and Bitbucket
Experience in messaging technologies such as RabbitMQ, Kafka, etc.
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