SaidGig

RunOps Support Engineer, Platform and Infrastructure

$25–$50/hr

RemoteContracttechnologyUpdated Jun 8, 2026
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About this role

In this role, you will leverage your expertise to support the training of next-generation AI systems. Your contributions will directly influence how models learn, reason, and perform by providing high-quality, real-world input. No prior AI experience is necessary; your domain knowledge is what truly matters.

Key Responsibilities:
  • Monitor, troubleshoot, and support production infrastructure systems, including servers, containers, storage, and networks.
  • Respond promptly to operational incidents and alerts, leading the resolution of platform-related issues to minimize downtime.
  • Manage and optimize CI/CD pipelines using tools such as Jenkins, and oversee container orchestration with Kubernetes and Helm.
  • Collaborate closely with DevOps and SRE stakeholders to drive automation and enhance system reliability.
  • Maintain, support, and improve internal tooling and platform services across all engineering teams.
  • Participate in on-call rotations or shift work as required, ensuring continuous operational support.
  • Utilize observability and monitoring tools (e.g., ELK, Grafana, Prometheus) to proactively identify and address potential issues.
Qualifications:
  • Minimum 2+ years of experience in platform/infrastructure support, RunOps, or DevOps roles.
  • Expertise in Linux systems and shell scripting for automation and troubleshooting.
  • Strong hands-on experience with Docker, Kubernetes, and Helm in production environments.
  • Demonstrated proficiency with CI/CD tools such as Jenkins.
  • Robust knowledge of at least one major cloud platform (AWS, Azure, or GCP) and associated services.
  • Familiarity with observability toolsets including ELK, Grafana, and Prometheus.
  • Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
Preferred Qualifications:
  • Experience supporting large-scale or multi-cloud environments.
  • Background in infrastructure as code or configuration management solutions.
  • Ability to drive process improvement and contribute to platform strategy initiatives.
Work Terms:

Contract position with remote work flexibility.

Compensation:

Hourly rate of $25 - $50.

Eligibility:

Open to candidates with the required skills and experience, regardless of prior AI experience.

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