DevOps Engineer

Role:

• Automate Kubernetes infrastructure for scaling both individual customer sites as well as client’s own infrastructure
• Implement and manage multi-server deployments in AWS, Google Cloud (GCP), and Microsoft Azure
• Collaborate with development teams to deploy new code to production environments
• Maintain and improve monitoring systems and alarms for production environments, using Datadog, Zabbix, Pingdom, ElasticSearch, and Graylog
• Set up backup mechanisms for the production environment and test disaster recovery mechanisms
• Manage incident response with other engineers and clients including performing root cause analysis

Skills:

• Experienced with cloud automation tools and very comfortable with Kubernetes
• Any familiarity with the following technologies in our stack: Linux, git, ruby, bash, AWS, Azure, Google Cloud, MySQL, Apache, Tomcat, Java, Graylog, Kibana, Zabbix, and Datadog
• Any experience with cloud infrastructure automation tools such as Terraform, Gyro, CloudFormation
• Outstanding communication skills with the ability to work in a client-facing role
• Outstanding problem-solving skills in situations with tricky technical situations