Job Title: Site Reliability Engineer

Job Type: Contractor

Location: Remote

Job Summary: 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.

Key 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.

Required Skills and Qualifications:

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.