Site Reliability Engineer

About the role

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Responsibilities

• Design, implement, and maintain scalable infrastructure using Linux, Kubernetes, and Prometheus.
• Monitor system health, analyze performance metrics, and proactively address bottlenecks or potential failures.
• Automate operational processes to minimize manual intervention and increase system reliability.
• Respond swiftly to incidents, conduct root cause analysis, and drive continuous improvements in incident response procedures.
• Collaborate closely with development and operations teams to deliver seamless deployments and high system availability.
• Create comprehensive documentation and clear runbooks for operational excellence and knowledge sharing.
• Champion best practices in SRE, security, and compliance across the customer's ecosystem.

Requirements

• Expert-level hands-on experience with Linux system administration and troubleshooting.
• Advanced proficiency with Kubernetes, including cluster deployment, operations, and management.
• Deep knowledge of Prometheus for monitoring, metrics collection, and alerting.
• Strong scripting abilities (Bash, Python, or similar) for automation and tooling.
• Excellent written and verbal communication skills, with the ability to document and share knowledge effectively.
• Proven track record in site reliability engineering or similar roles in high-availability environments.
• Demonstrated commitment to proactive problem-solving and collaborative teamwork.

Preferred Qualifications

• Experience with other cloud-native tools (e.g., Grafana, Helm, Istio, or similar).
• Certifications in Kubernetes, Linux, or cloud platforms.
• Background in high-growth or large-scale production environments.