About this opportunity
Confidential lists this Infrastructure / Site Reliability Engineer (SRE) opportunity in Richmond, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Role Overview 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.
Key Responsibilities 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.
Qualifications 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.
Preferred Experience 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.
Work Terms Remote, full-time hourly engagement.
Must be able to commit to full-time work.
Compensation $200 per hour.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.