DevOps Engineer
Posted 2 days ago
You'll complete your application on Rex's career site.
About the Role
This DevOps Engineer position centers on the training and assessment of artificial intelligence models by managing technical infrastructure, deployment processes, and reliability initiatives. You will be tasked with constructing and testing intricate infrastructure and CI/CD systems, ensuring that AI-produced configurations, code, and deployment workflows adhere to strict benchmarks for security, maintenance, and operational precision. Through the auditing and analysis of AI results, you will help improve machine learning systems, effectively linking sophisticated automation with dependable site reliability practices. This position requires substantial technical expertise to troubleshoot deployment hurdles, create detailed remediation plans, and deploy automated validation protocols to guarantee stable performance. You will engage in regular review and calibration meetings, applying project-specific guidance to uphold quality standards across all model training tasks while working autonomously from a remote setting.
Requirements
- Hold a degree in computer science or a related discipline, or provide evidence of comparable professional experience.
- Possess at least three years of direct experience in site reliability engineering or DevOps.
- Demonstrate strong technical capability in Linux, Docker, and CI/CD platforms like Jenkins, GitLab CI, or GitHub Actions.
- Exhibit a thorough understanding of infrastructure-as-code methodologies using tools such as Terraform.
- Maintain a strong foundational knowledge of Kubernetes.
- Display fluency in written English.
- Possess strong attention to detail, reliability, and the ability to manage deadlines in a remote work environment.
- Preference will be given to candidates with cloud certifications (AWS, Azure, or GCP), expertise in managing production-grade Kubernetes, and experience with observability and security hardening.
Responsibilities
- Develop and verify infrastructure-as-code and CI/CD processes according to industry-standard benchmarks.
- Conduct rigorous assessments of AI-created scripts and configurations to confirm their security and maintainability.
- Identify, replicate, and resolve deployment or reliability issues, providing documented step-by-step guidance for each scenario.
- Examine AI-generated recommendations regarding incident management, cloud architecture, and monitoring to ensure technical precision.
- Develop automated scripts intended to validate model-generated solutions.
- Provide thorough written reports on identified failure trends while maintaining compliance with project requirements and quality criteria.
Benefits & Perks
- You will receive compensation between USD 50 and USD 150 per hour, with the specific rate determined by your location of residence.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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