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Senior Advanced DevOps Engineer

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Onsite

Senior Advanced DevOps Engineer

General Dynamics Mission Systems

Senior Advanced DevOps Engineer

Skills

DockerRedisRabbitMQGitLabJenkinsMachine LearningAIAWSElasticsearchAnsibleKubernetesTerraformAzure

7 days ago

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Important information


Contract type:

Other

Salary:

$149,831 / year

Location:

Boulder, CO, USA

Work mode:

Onsite

Published on:

13 October 2026

What they need


Basic Qualifications

Education Requirements:

Requires a Bachelor’s degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field. Also requires 8+ years of job-related experience, or a Master's degree plus 6 years of job-related experience. Agile experience preferred.

Clearance Requirements:

Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.

Responsibilities for this Position

"Sign On Bonus Available."

GDMS OFFERS RELOCATION BENEFITS FOR THIS POSITION.

ROLE AND POSITION OBJECTIVES:

As a Senior Advanced DevOps Engineer, you will:

  • Contribute to automation that instantiates and maintains container orchestration platforms
  • Automatically configure and deploy infrastructure services consisting of identity and access management, network architecture, application security, logging, monitoring, deployment and more
  • Work closely with our team to plan major updates and enhancements to our products

In this role, you will be working with critical internal and external platform consumers. Together with the team, you will support successful implementation of the platform in the Cloud through architecture guidance, best practices, data migration, implementation, troubleshooting, monitoring, and more.

Candidates should have demonstrated familiarity and experience in some of the following areas:

  • Experience working with or familiarity with AI/ML models is preferred.
  • Identifies opportunities to apply AI for continuous improvement and innovation.
  • Experience working with, or are familiar with the differences between, public (AWS, Azure), private (RHOSP, VIO), and mixed cloud environments
  • Container technologies such as Docker, or Kubernetes
  • Deployment or use of continuous integration and continuous deployment technologies such as GitLab, Jenkins, Puppet, or Chef
  • Experience supporting production-grade applications in virtualized environments (cloud computing platforms and services) using automation
  • Creation or use of pipelines, Ansible Playbooks, and/or Terraform configurations to automate administrative actions from resource creation to service configuration
  • Effective communication and attention to detail

Other beneficial experience:

  • IT security practices including encryption, certificates, key management, patch management, STIG, RMF, or security hardening, and auditing
  • Installation of Infrastructure as a Service (IaaS) technologies such as Amazon Web Services, OpenStack, RHOSP, or VIO
  • Management of Cloud Resources in Amazon Web Services, and/or Azure
  • Platform as a Service (PaaS) technologies such as Kubernetes, Rancher, or OpenShift
  • Cloud automation tooling such as Ansible, Terraform, Terragrunt, or Packer
  • Open source server, messaging, load balancing, and database software (such as RabbitMQ, Redis, Elasticsearch)
  • Scalable networking technologies such as Load Balancers (NGINX)/Firewalls and web standards (REST APIs, web security mechanisms)

What sets you apart:

  • Strong understanding of software development process, as well as software engineering concepts, principles, and theories
  • Creative thinker capable of applying new information quickly to solve challenging problems
  • Team player who thrives in collaborative environments and revels in team success
  • Commitment to ongoing professional development for yourself and others
  • Identifies opportunities to apply AI for continuous improvement and innovation

Our Commitment to You:

  • An exciting career path with opportunities for continuous learning and development.
  • Research oriented work, alongside award winning teams developing practical solutions for our nation’s security
  • Flexible schedules with every other Friday off work, if desired (9/80 schedule)
  • Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
  • See more at gdmissionsystems.com/careers/why-work-for-us/benefits

Workplace Options:

This position is flex but requires at least 3-4 days per week of onsite support at the customer's facility in Boulder, CO

#LI-Hybrid

#SGS

Salary Note

This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.

Combined Salary Range

USD $149,831.00 - USD $158,024.00 /Yr.

Company Overview

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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