Localization Engineer, Sr jobs in Fayetteville, NC

Company Overview:

At Yurts, we are committed to pushing the boundaries of artificial intelligence and driving innovation in enterprise solutions. Yurts makes AI practical for any enterprise by leveraging Large Language Models (LLMs) and the practical power of GenAI applications, we are transforming document management, knowledge management, and information retrieval for businesses.

Job Description:

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

We are seeking a highly skilled and motivated Senior DevSecOps Engineer with extensive experience in Terraform, Kubernetes, and US Federal Government Risk Management Frameworks to join our dynamic team.  The Sr. DevSecOps Engineer will be supporting operations of a non-internet accessible on-premise hybrid environment built primarily on Kubernetes. Ideal candidate is expected to provide an array of skills within the DevSecOps discipline. The position requires engineering expertise within a multi-faceted team, where the individual is willing to provide a myriad of taskings in support of the mission and be willing to learn new technology and methodologies as the program evolves.

Responsibilities:

• Deploy the Yurts product on US government cloud environments using Infrastructure as code (Terraform).
• Architect, implement, and maintain an installer for installing our software in an on-prem environment with re-using as many components as possible between that and the cloud version.
• Implement, manage, and maintain Kubernetes clusters across different environments.
• Develop automation scripts for provisioning, monitoring, backing up, patching and deploying 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 mission-critical applications.
• Collaborate with product DevOps team to establish best practices and company-wide guidelines.
• Work closely with the software engineering team to integrate their project deliverables into customer production cloud and/or on-prem environments.
• Troubleshoot complex system issues and work with customer, partner, and internal development teams to identify root causes and resolve them.
• Implement robust monitoring, alerting, and logging systems to ensure optimal performance and uptime.
• 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.
• This position may require travel depending on your lacation

Qualifications:

• An active US Department of Defense or Intelligence SECRET clearance, with a willingness to upgrade to TS/SCI if needed.
• A BS degree or higher in Computer Science, Engineering, or related fields
• 4 years of experience as a DevOps or DevSecOps Engineer, or equivalent software-engineering role.
• Strong communication skills and the ability to collaborate effectively with clients, partner vendors, end users, and cross-functional teams.
• Proficiency with cloud services (AWS or Azure) and Terraform.
• Experience with Keycloak, SSO, Federated Identity Management, and US Government authentication systems.
• Strong experience with containerization and orchestration technologies, especially Docker and Kubernetes.
• Experience with automation and configuration management tools.
• Working knowledge of databases, both SQL and NoSQL, and related data structures.
• Excellent problem-solving and troubleshooting skills.
• Proficiency in at least one scripting language.
• Experience with CI/CD tools such as GitLab, GitHub Actions, Jenkins, etc.
• Experience with iterative development processes, thriving in dynamic and agile environments.

Please note We strongly encourage you to apply even if you don't meet all of the requirements for this role if you believe your skills and attributes may still make you a strong fit for the position.

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 is a plus.