AI Platform Engineer

Job Description

This role is responsible for designing, implementing, and maintaining the cloud infrastructure and CI/CD systems that power X-energy's AI-native application platform (APEX). The DevOps Engineer will work with the AI and Application Development team to accelerate deployment velocity, ensure system reliability, and enable the rapid delivery of AI-infused capabilities across engineering, manufacturing, regulatory, and deployment processes. This role requires expertise in containerization, cloud infrastructure automation, and modern DevOps practices to support X-energy's mission of becoming an AI-first organization and setting the industry standard for nuclear deployment speed and operational excellence.

Job Profile Tasks/Responsibilities:

• Design, build, and maintain containerized applications using Docker, including image building, testing, versioning, and optimization for production deployment
• Develop and maintain GitLab CI/CD pipelines, including runner configuration, pipeline optimization, monitoring dashboards, and automated testing workflows
• Architect and manage AWS infrastructure using Terraform, including ECS (Elastic Container Service), ECR (Elastic Container Registry), VPC, EC2, ALB/NLB, and other cloud services
• Administer and optimize AWS data services including DocumentDB, OpenSearch, Redis, Aurora Postgres, DynamoDB, and S3
• Implement and maintain comprehensive monitoring, alerting, and observability solutions using Datadog and CloudWatch
• Manage security and compliance requirements including ACM (AWS Certificate Manager) for certificate management and implementing security best practices across all infrastructure
• Lead release engineering efforts, including versioning strategies, deployment automation, and rollback procedures
• Collaborate with development teams to optimize application performance, troubleshoot production issues, and implement infrastructure improvements
• Leverage Claude Code and AI tools to accelerate infrastructure development and maintenance tasks
• Apply knowledge of LLMs and AI systems to support the platform's AI-native architecture
• Maintain professional demeanor and behavior at all times in all forms of communication
• Execute core tasks and responsibilities with minimal supervision in a fast-paced, team oriented environment
• Participate in on-call rotation to ensure system reliability and rapid incident response
• Maintain professional demeanor and behavior at all times in all forms of communication.
• Perform other duties as assigned by manager

Job Profile Minimum Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field is required
• The skill required for this role are typically demonstrated by 10 plus years of relevant experience.
• 3 years of hands-on experience with Docker containerization including building, testing, and deploying production applications
• Proven experience administering GitLab CI/CD systems, including runner setup, pipeline configuration, and troubleshooting
• Strong proficiency with Amazon Web Services, particularly ECS, ECR, VPC, and Terraform infrastructure-as-code
• Experience managing AWS data services such as DocumentDB, OpenSearch, Redis, Aurora Postgres, or DynamoDB
• Proficiency with Linux and/or macOS command-line environments
• Demonstrated experience with release engineering and deployment automation
• Knowledge of monitoring and observability tools (Datadog preferred)
• Understanding of AI/ML concepts and LLM architectures
• Proficiency with Claude Code or similar AI-assisted development tools
• Strong problem-solving skills and ability to work independently
• Excellent communication and collaboration skills
• Ability to work hybrid schedule in Rockville, MD office Tuesday, Wednesday, and Thursday

Location: 9801 Washingtonian Blvd, Gaithersburg, MD

Work Site Expectations: 3 days in office

Travel Expectations: Up to 5%

Hours: Standard office hours are 8:00am - 5:00pm ET, Monday – Friday