DevOps Engineer | $20-$70/hr Remote
Overview
This DevOps Engineer role is your opportunity to apply your cloud infrastructure expertise to directly influence how next-generation AI systems learn and perform. You'll design and automate scalable environments using AWS and Kubernetes, ensuring reliability and efficiency for model training workflows. No prior AI experience is needed—your proven DevOps skills are what matter most.
What You'll Do7
- 1Build, deploy, and manage scalable cloud infrastructure on AWS and Kubernetes to support AI training pipelines.
- 2Automate CI/CD pipelines, monitoring, and configuration management to boost system reliability and efficiency.
- 3Work closely with development teams to ensure seamless integration and continuous delivery across multiple environments.
- 4Proactively monitor system performance, identifying and resolving bottlenecks or potential outages before they impact operations.
- 5Embed security best practices into every layer of the DevOps process to maintain compliance and protect data.
- 6Create clear documentation and effectively communicate technical workflows to both technical and non-technical stakeholders.
- 7Troubleshoot complex infrastructure and application issues, minimizing downtime through rapid incident response and root cause analysis.
Requirements7
- 1Proven track record in DevOps methodologies and managing cloud-native infrastructure at scale.
- 2Hands-on experience orchestrating containers with Kubernetes and managing services on AWS (e.g., EC2, EKS, S3).
- 3Deep understanding of CI/CD automation and infrastructure-as-code tools like Terraform or CloudFormation.
- 4Strong written and verbal communication skills, with an emphasis on clarity and cross-team collaboration.
- 5Experience with monitoring and observability tools such as Prometheus, Grafana, or the ELK Stack.
- 6Ability to handle incident response and root cause analysis in a fast-paced, remote environment.
- 7Preferred: Relevant AWS or Kubernetes certifications, experience in distributed remote teams, or background in regulated/enterprise settings.
Who Should Apply
This contract role is ideal for experienced DevOps engineers who enjoy building robust, automated infrastructure and want to see their work directly impact the evolution of AI models. You thrive on collaboration, value clear documentation, and are comfortable working asynchronously in a remote-first setup. While you don't need AI experience, you're excited to apply your domain expertise to help train next-generation systems.
Salary Insight
The role offers an hourly rate between $20 and $70, depending on experience and skill level.
Location
Required Skills
Application Tip
When applying, include a brief example of a time you automated a complex deployment or scaled a Kubernetes cluster in production. Highlighting your ability to communicate technical decisions to non-technical stakeholders will also set you apart—since this role involves close collaboration with diverse teams.
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How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
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