Cloud Engineer supports developers and production services in AWS and Google Cloud environments, managing resources like compute instances, VPCs, security groups, and automation scripting while maintaining stable cloud operations onsite in Bethesda, MD.
Salary not listed
On-siteDevOps / SRE
About the role
Responsibilities
Provide support to developers and production services operating in NCBI's Amazon AWS and Google GCP environments
Participate in discussions of ongoing technical and management efforts, including new architecture
Participate in evaluation and implementation of new technologies
Ongoing operation and maintenance of existing services
Assist with development of tools to help monitor and manage the cloud environments and enforce established policies
Required Qualifications
Strong experience with Linux systems administration, particularly CentOS 7 or RedHat 7
Experience managing Cloud resources within Amazon AWS or Google Cloud Platform, particularly:
User management
Roles and permissions
Compute instances
VPCs and subnets
Routing
Firewall rules/security groups
Experience writing scripts to automate management tasks
Self-starter, able to work independently
Ability to learn quickly and adapt to a rapidly changing environment
Familiarity with networking concepts (subnetting, basic routing, UDP, TCP, ICMP)
Ability to manage firewall rules
Strong troubleshooting skills
Some programming experience, applicable to developing cloud management tools (Bourne/bash shell, Ruby, Python, Perl)
Desired Qualifications
Familiarity with managing continuous integration tools such as TeamCity, Jenkins, or GitLab
Experience with MS Windows systems administration
Experience with Active Directory and Active Directory Federation Services
Experience managing resources with Puppet
Experience writing code to automate management of cloud resources via their native CLI or API
Experience with cloud automation tools (Packer, Terraform, cloud-init)
Experience with enterprise monitoring tools such as Nagios, Splunk, Telegraf, InfluxDB
Experience with cloud monitoring tools such as CloudWatch and CloudTrail
Familiarity with Atlassian tools (JIRA, Confluence, Bitbucket)
Experience with Git
Experience with container technologies (Docker, Kubernetes, OpenShift)
Experience programming in Bourne/bash shell, Ruby, Python, Perl
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