AI Platform Engineer

X-energy LLC conducts a thorough recruiting process and will never issue offers without interview to discuss qualifications and responsibilities. All applications will be submitted via our company career page, We will never ask you to provide payment information as part of the recruiting process. If anyone claiming to represent X-energy directs you in a manner otherwise, please contact us at

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

Compensation

As required by Maryland and other applicable state law, X Energy, LLC (X-energy) lists the expected compensation range for a publicly advertised job opportunity based upon the job requirements (e.g. education/training, experience, skill sets, etc.). Individual candidates who meet the job requirements for the posted position will be offered a salary within this range based on their respective levels of education/training, experience, and other qualifications unique to them. Salary ranges may vary based on the specific office location and region referenced in the posting to take into consideration differences in cost of living and may not be reflective of all regions. Please note that compensation ranges listed for US job postings reflect base salary only and do not include benefits or other incentives.

Offers within the posted salary range are commensurate with the individual's qualifications for the position, along with a view on internal equity, market data, and room for growth. The salary range for this position is:
$184,000- $215,000

Position Job Classification
Full time - Exempt

Benefits


X Energy, LLC offers a robust benefits package that includes a 401K plan with an employer match, Medical/Dental /Vision Insurance, Life and Disability Insurance, Paid Time Off, and a Tuition Reimbursement/Professional Development policy that supports the continuing education of our employees.


An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.


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