Infrastructure / Site Reliability Engineer (SRE)

Build and operate enterprise-grade production infrastructure for complex technology and AI initiatives. This role focuses on improving the reliability, scalability, performance, observability, and operational efficiency of distributed systems while working hands-on with Kubernetes, AWS, Datadog, and modern cloud-native tooling.

• Build, operate, and continuously improve highly available, scalable production infrastructure.
• Manage and optimize Kubernetes-based production environments.
• Design and maintain cloud infrastructure, primarily on AWS.
• Strengthen system reliability, availability, scalability, and operational efficiency.
• Build and maintain infrastructure and application observability using Datadog or comparable platforms.
• Investigate production incidents, conduct root-cause analysis, and deliver durable fixes.
• Improve monitoring, alerting, logging, tracing, and overall production visibility.
• Develop automation and internal tools that reduce manual operational work.
• Partner with software engineering teams on deployments, infrastructure, and production reliability.
• Contribute to infrastructure architecture and technical decisions for complex distributed systems.

• Professional experience in Infrastructure Engineering, Site Reliability Engineering, Platform Engineering, DevOps, or Production Engineering.
• Hands-on experience operating complex, enterprise-grade production systems.
• Strong production experience with Kubernetes, AWS, and cloud-native infrastructure.
• Experience with Datadog, Prometheus, Grafana, or similar observability platforms.
• Experience with Infrastructure as Code, including Terraform, Pulumi, or equivalent technologies.
• Strong knowledge of distributed systems, networking, containers, Linux, and cloud architecture.
• Experience building or maintaining CI/CD and production deployment infrastructure.
• Strong debugging, troubleshooting, and incident-response capabilities.
• Proficiency in at least one programming or scripting language, such as Python, Go, or Bash.

• Operating Kubernetes and cloud infrastructure at significant production scale.
• Supporting high-traffic or mission-critical applications.
• Building infrastructure or platform tooling used by large engineering organizations.
• Owning production reliability, on-call operations, incident response, or capacity planning.
• Improving SLOs, SLIs, observability, deployment reliability, infrastructure performance, or operational efficiency.

• Remote, full-time hourly engagement.
• Must be able to commit to full-time work.

$200 per hour.