AI Platform Engineer

X-Energy•Rockville, MD

1d•Hybrid

About The Position

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.

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field is required
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

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
Perform other duties as assigned by manager