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Must have 3 years of experience working in Agile development, application security, or DevOps role, with experience in the following technologies: - Containers (Docker, Kubernetes, or similar) - Infrastructure as code (Vagrant, Docker, Ansible, Chef, Terraform, or similar) - Continuous integration (Jenkins, Bamboo, Hudson, or similar.
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Experience with public cloud providers such as Amazon EC2 or Microsoft Azure. Experience with configuration management such as Puppet or Chef. Experience with virtualization - KVM, VMware vSphere, and OpenStack.
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As a Senior Service Reliability Engineer at Proofpoint you will develop a deep understanding of the various services and applications that come together to deliver Proofpoint's next generation security products.
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Experience with Windows Server, Active Directory, and SQL Server desired. Experience automating management of systems and applications using Perl, Python, or Ruby. Experience with industry-standard operational practices such as change management, incident management, and working in colocation datacenters.
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You will be responsible for provisioning, maintaining, and scaling our production services within server farms across multiple, world-wide data centers as well as AWS. Ensure proper monitoring, alerting, capacity planning and reporting in the production environment.
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Experience with open-source platforms such as Kubernetes, Red Hat 7&8 and/or Windows 10, ACAS, Rancher, Grafana, and Cloud Security Gateway. Knowledge of DNS / DHCP / Kickstart / LDAP / Kubernetes / Red Hat 7&8 / Windows 10 / ACAS / Rancher / Grafana / Cloud Security Gateway.
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Experience in multiple of the following areas, and a desire to learn the others:~ Linux OS scripting~ Database setup and integration, both relational and NoSQL (e.g., Oracle RDBMS, MySQL,CouchDB)~ Cloud infrastructure platforms (Amazon Web Services, Microsoft Azure)~ DevOps automation tools (Ansible, Chef, Puppet)~ Source control and Agile development tools (Git, Maven, Jenkins, Bitbucket, Jira,Confluence.
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Proficiency in configuration management tools (e.g., Ansible, Chef, Puppet) and containerization technologies (Docker, Kubernetes). Strong knowledge of cloud platforms (AWS, Azure, or GCP) and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation.
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The Sr. Linux/OpenShift Engineer is responsible for designing, developing, deploying, configuration, troubleshooting and ongoing maintenance and support of self-hosted/cloud infrastructure components including but not limited to: OpenShift, Kubernetes, Gitlab, backup and recovery, site-to-site replication, SAN, VMware vSphere systems, RedHat Satellite servers, Ansible Automation platform (AAP) & Orchestration systems, and Jenkins (CI/CD) and other tools.
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Experience with industry-standard foundation technologies such as TCP/IP, HTTP, DNS, SMTP, and LDAP. If you're an enthusiastic team player who cares about the infrastructure, remains calm in crisis, collaborates cross functionally, loves automation, then we want to talk to you.
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Set up infrastructure and architecture for DevOps tools such as Git, Jenkins, AppScan, Chef, Puppet, Ansible, Maven/Gradle, Docker, jfrog artifactory, bamboo, selenium, Cucumber, Nagios etc. Candidate must be able to set-up infrastructure and architecture and provide ongoing support got DevOps tools such as Git, Jenkins, AppScan, Chef, Puppet, Ansible, Maven/Gradle, Docker, jfrog artifactory, bamboo, selenium, Cucumber, Nagios etc.
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At least 1 year of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.
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Strong experience in DevOps tool chain (Jenkins, Artifactory, Ansible/Chef/Puppet/Spinnaker, Maven/Gradle, Atlassian Tool suite) Must be strong in Cloud AWS event-based architecture, Kubernetes, ELK (Elasticsearch, Logstash & Kibana.
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Participate in an on-call rotation and be willing to jump on escalated issues as needed. We offer a competitive benefits package that includes flexible time off, a robust well-being program that provides for 4 global wellbeing days per year, and a 3-week work from anywhere option.
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Experience in setting up virtual private clouds in public cloud infrastructure such as Amazon Web Services, Microsoft Azure, Alibaba Cloud, or Google Cloud Platform. Experience with automating network functions through tools such as Chef, Puppet, Ansible, or Terraform.
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