AI Platform Engineer

• 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, ECR, VPC, EC2, ALB/NLB, and other cloud services.
• Administer and optimize AWS data services including DocumentDB, OpenSearch, Redis, Aurora Postgres, DynamoDB, and S3.

This role accelerates the deployment of AI-native capabilities for advanced nuclear energy, enabling faster, safer, and more efficient clean energy production to combat climate change.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 10+ years of relevant experience typically required, with 3+ years hands-on Docker experience.
• Proven experience with GitLab CI/CD, AWS (ECS, ECR, VPC, Terraform), and AWS data services.
• Proficiency with Linux/macOS command-line, release engineering, monitoring tools (Datadog preferred), and AI/ML concepts.

Salary range: $150,000 - $183,000 per year. Benefits include 401K with employer match, Medical/Dental/Vision Insurance, Life and Disability Insurance, Paid Time Off, and Tuition Reimbursement/Professional Development.

X-energy is a nuclear energy company developing advanced reactor designs and AI-native platforms to accelerate clean energy deployment and set industry standards for operational excellence.