Advanced DevOps Engineer
- Boulder, United States
- Mid Level
- 5+ years
- Bachelor's degree
- Posted
Skills
Required
- AI/ML models
- AI
- AWS
- Azure
- Docker / Kubernetes
- GitLab / Jenkins / Puppet / Chef
- Amazon Web Services / OpenStack / VIO Management of
- Ansible / Terraform / Terragrunt / Packer
- RabbitMQ
- Elasticsearch
- NGINX / Firewalls
Preferred
- Agile
- identity and access management
- network architecture
- application security
- logging
- monitoring
- deployment
- data migration
- As an Advanced DevOps Engineer, you will: Contribute to automation that instantiates and maintains container orchestration platforms
- In this role, you will be working with critical internal and external platform consumers.
About General Dynamics Mission Systems
An exciting career path with opportunities for continuous learning and development.
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.
If who we are and what we do resonates with you, we invite you to join our high-performance team!
Responsibilities
- 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
- 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.
Requirements
- Requires a Bachelor’s degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field.
- Also requires 5+ years of job-related experience, or a Master's degree plus 3 years of job-related experience.
- 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)
- 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
- Research oriented work, alongside award winning teams developing practical solutions for our nation’s security
Preferred
- Agile experience preferred.
Pay
- Actual pay may vary.
- USD $118,570.00 - USD $125,054.00 /Yr.
Benefits
- 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
- 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 #LI-JH1 #CJ3 #SGS Salary Note This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.).
- 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.
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.
- Flexible schedules with every other Friday off work, if desired (9/80 schedule)
- This job posting will remain open until the position is filled.
Equal Opportunity Employer
/ Individuals with Disabilities / Protected Veterans
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