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Sr. DevOps Engineer - Federal

Yurts AI% TravelRemote

Company Overview:


At Yurts, we are committed to pushing the boundaries of artificial intelligence and driving innovation in enterprise solutions. Our goal is to create cutting-edge applications that leverage the power of LLMs and Generative AI to deliver mission impact and transform businesses. We are seeking a highly skilled and motivated Senior DevOps Engineer for our Federal team who is passionate about deploying exceptional software products for US government customers. If you have experience in deploying and maintaining enterprise products, thrive in a fast-paced iterative development process, and enjoy delivering value in support of US government missions, we would love to hear from you!

Job Description:


This position requires a US Department of Defense or Intelligence SECRET clearance.


We are seeking a highly skilled and motivated Senior DevOps Engineer with extensive experience in Kubernetes, deployment automation (e.g., Ansible, Terraform, or similar tools), environment agnostic deployment, and US Federal Government Risk Management Frameworks to join our dynamic team. The ideal candidate will be responsible for deploying our product to government customer environments and ensuring our security posture meets requirements while maintaining the high availability, performance, and security of our services.

You will work closely with other Federal DevOps Engineers and the Yurts Platform DevOps and Engineering teams to improve product deployment efficiency and configurability.

Responsibilities:


  • Deploy the Yurts product in US government compute environments using Ansible, Terraform, Kubernetes/Docker, and related technologies.
  • Architect, implement, and maintain an installer for deploying our software across multiple customer environments.
  • Develop automation scripts for provisioning, monitoring, backing up, patching and deploying the Yurts product and underlying services.
  • Prepare packages required for Authorization to Operate (ATO), Certification to Field (CTF), and other security requirements presented by US Government Risk Management Frameworks (RMF).
  • Ensure high availability, fault tolerance, and disaster recovery capabilities for deployed applications.
  • Implement robust monitoring, alerting, and logging systems to ensure optimal performance and uptime.
  • Collaborate with product DevOps Engineers to establish best practices and company-wide guidelines.
  • Work closely with product software engineering teams to integrate their project deliverables into customer production cloud and on-premises environments.
  • Troubleshoot complex system issues and work with customer, partner, and internal development teams to identify root causes and resolve them.
  • Stay current with new technologies and recommend innovative solutions that increase value and improve efficiency.
  • Enforce compliance with security best practices and policies.
  • Participate in the creation of the company's strategic IT roadmap.
  • Willingness to travel up to 25% to customer locations, company events, and conferences.

Qualifications:


  • An active US Department of Defense or Intelligence SECRET clearance, with a willingness to obtain a TS/SCI if needed.
  • A BS degree or higher in Computer Science, Engineering, or related fields.
  • CompTIA Security+ Certification.
  • 4+ years of experience as a DevOps or DevSecOps Engineer, or equivalent software-engineering role.
  • Extensive experience leading application deployments to AWS, Azure, and/or Oracle Cloud environments, as well as on-premises data centers.
  • Experience delivering software to multiple environments using Ansible or similar automation and configuration management technologies.
  • Strong experience with containerization and orchestration technologies, especially Docker, Kubernetes, and Helm.
  • Experience with CI/CD tools such as GitLab, GitHub Actions, Jenkins, ArgoCD, etc, and a willingness to learn and adopt new ones.
  • Experience deploying rapidly evolving software and maintaining a flexible deployment paradigm to enable rapid iteration.
  • Strong communication skills and the ability to collaborate effectively with clients, partner vendors, end users, and cross-functional teams.
  • Experience writing and leveraging infrastructure-as-code (Terraform or similar).
  • Working knowledge of databases, both SQL and NoSQL, and related data structures. 
  • Proficiency in at least one scripting language (i.e Bash, Python).
  • Experience building deployment systems for rapidly developing and changing applications.

Preferred Qualifications:


  • An MS in Computer Science, Engineering, or related fields.
  • An active US Department of Defense or Intelligence TS/SCI clearance.
  • Experience with containerization and deployment of Machine Learning models.
  • Experience deploying commercial software products into government customer environments.
  • Experience in startup environments.

Why Join Us:

As a Senior DevOps Engineer, you will play a crucial role in our team, and your expertise will be pivotal in reaching our company goals. You will be given the opportunity to make a significant impact on our systems while working in an innovative and fast-paced environment. We offer competitive compensation and benefits packages and encourage professional growth and development. Join us on our exciting journey to push the boundaries of technology and drive transformative change in the AI and ML industry.

Note:

At
Yurts, we are dedicated to harnessing the power of AI and ML. If you're interested in learning more about our innovative projects and the impact of AI in transforming industries, check out our blog post here. This will give you an insight into the fascinating world of AI and the possibilities it holds for the future.Compensation Information$180,000 - $220,000USD

Life at Yurts AI

Thrive Here & What We Value1. Equal employment opportunities for all employees and applicants2. Compensation range: $180,000 - $220,000 USD3. Pushing boundaries of AI in enterprise solutions4. Cutting-edge applications leveraging LLMs and Generative AI5. Professional growth and development encouragement6. ML infrastructure optimization for high performance7. Fast-paced, iterative development process8. Willingness to travel 25% for customer locations, events, and conferences
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