Advanced DevOps Engineer

General Dynamics Mission Systems, Inc•Boulder, CO

10d•$118,570 - $125,054•Hybrid

About The Position

As an Advanced DevOps Engineer at General Dynamics Mission Systems, you will contribute to automation that instantiates and maintains container orchestration platforms, and automatically configure and deploy infrastructure services such as identity and access management, network architecture, application security, logging, monitoring, and deployment services. You will work with the team to plan major product updates and enhancements and support internal and external platform consumers as the platform is implemented in the cloud. Support includes architecture guidance, best practices, data migration, implementation, troubleshooting, and monitoring. The role requires a Department of Defense Secret security clearance at hire and U.S. citizenship. It is a flex workplace position requiring at least 3–4 days per week of onsite support at the customer's facility in Boulder, Colorado.

Requirements

Bachelor’s degree in Software Engineering or a related Science, Engineering, Technology, or Mathematics field plus 5 or more years of job-related experience, or a master’s degree plus 3 or more years of job-related experience.
Department of Defense Secret security clearance required at the time of hire.
U.S. citizenship is required.
Familiarity or experience with public cloud environments such as AWS or Azure, private cloud environments such as RHOSP or VIO, and mixed cloud environments.
Familiarity or experience with container technologies such as Docker or Kubernetes.
Familiarity or experience deploying or using continuous integration and continuous deployment technologies such as GitLab, Jenkins, Puppet, or Chef.
Experience supporting production-grade applications in virtualized environments using automation.
Experience creating or using pipelines, Ansible Playbooks, and/or Terraform configurations to automate administrative actions from resource creation to service configuration.
Effective communication and attention to detail.

Nice To Haves

Agile experience is preferred.
Experience working with or familiarity with AI/ML models.
Experience with IT security practices such as encryption, certificates, key management, patch management, STIG, RMF, security hardening, and auditing.
Experience installing IaaS technologies such as Amazon Web Services, OpenStack, RHOSP, or VIO.
Experience managing cloud resources in Amazon Web Services and/or Azure.
Experience with PaaS technologies such as Kubernetes, Rancher, or OpenShift.
Experience with cloud automation tools such as Ansible, Terraform, Terragrunt, or Packer.
Experience with open-source server, messaging, load-balancing, and database software such as RabbitMQ, Redis, and Elasticsearch.
Experience with scalable networking technologies such as NGINX load balancers, firewalls, REST APIs, and web security mechanisms.
Strong understanding of software development processes and software engineering concepts, principles, and theories.
Creative thinking and ability to apply new information quickly to solve challenging problems.
Collaborative team orientation and commitment to team success.
Commitment to ongoing professional development for yourself and others.

Responsibilities

Contribute to automation that instantiates and maintains container orchestration platforms.
Automatically configure and deploy infrastructure services, including identity and access management, network architecture, application security, logging, monitoring, and deployment.
Work with the team to plan major product updates and enhancements.
Support internal and external platform consumers in cloud platform implementation through architecture guidance, best practices, data migration, implementation, troubleshooting, and monitoring.
Identify opportunities to apply AI for continuous improvement and innovation.