DevOps / IaC Engineer

Job Description

Quick Facts - Engagement | Hourly, at?will contractor Schedule | Fully remote & asynchronous (min.?10?hrs/week) Pay Range (US) | $25???$100 per hour Start Date | Rolling ? staffed as projects launch What Will You Do - Design and maintain cloud-based infrastructure (AWS, GCP, or Azure) for AI development pipelines. -Automate infrastructure using tools like Terraform, Ansible, or similar. -Monitor and improve system performance, reliability, and scalability. -Identify and resolve infrastructure bottlenecks or deployment issues. -Summarize your troubleshooting, design, and optimization decisions clearly and concisely Qualifications Fluent in English with strong writing and communication skills. Expertise in DevOps and Infrastructure as Code (IaC): containers (Docker), orchestration (Kubernetes), CI/CD (GitHub Actions, CircleCI, etc.). 0?3 years of experience in DevOps, cloud infrastructure, or SRE roles is a plus. Bachelor?s degree (or pursuing one) in Computer Science, Engineering, or related field. Deep interest in AI/ML infrastructure, cloud computing, or secure system design. Deep hands-on experience with Terraform (preferred), Pulumi, or AWS CloudFormation Proficiency with at least one major cloud provider (AWS preferred; Azure or GCP acceptable) Strong understanding of networking, IAM, VPCs, security groups, and resource policies Comfortable writing modular, DRY IaC, and using state management practices responsibly Interview Process - Click on the Apply link and sign up. Upload your resume and complete the ID verification. After verification, go to the Home Page. Click on ?Start Interview with Zara? ? the 15 min AI interview will be based on your resume. Complete the interview to proceed with onboarding. Payout - Engagement | Hourly, at?will contractor Schedule | Fully remote & asynchronous (min.?10?hrs/week) Pay Range (US) | $25???$100 per hour Weekly Start Date | Rolling ? staffed as projects launch About Company- Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We?re backed by SoftBank, Andreessen?Horowitz, B?Capital, Gradient?Ventures, Databricks?Ventures, and Kleiner?Perkins, and trusted by leading research labs and enterprises worldwide.