Build and operate enterprise-grade production infrastructure for ambitious technology and AI initiatives. This role centers on improving the reliability, scalability, performance, observability, and operational efficiency of complex distributed systems.
Key Responsibilities- Build, operate, and enhance highly available, scalable production infrastructure.
- Manage and optimize Kubernetes-based production environments.
- Design and maintain cloud infrastructure, primarily on AWS.
- Improve reliability, availability, scalability, and operational efficiency across infrastructure and applications.
- Build and maintain observability using Datadog or comparable platforms.
- Investigate production incidents, conduct root-cause analysis, and implement durable fixes.
- Improve monitoring, alerting, logging, tracing, and 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 using 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 skills.
- Proficiency in Python, Go, Bash, or another programming or scripting language.
- Operating Kubernetes and cloud infrastructure at meaningful production scale.
- Supporting high-traffic or mission-critical applications.
- Building infrastructure or platform tools used by large engineering organizations.
- Owning production reliability, on-call operations, incident response, or capacity planning.
- Improving SLOs or SLIs, observability, deployment reliability, infrastructure performance, or operational efficiency.
- Remote, full-time hourly engagement.
- Ability to commit to full-time work is required.
- $200 per hour.
Infrastructure / Site Reliability Engineer (SRE) in Memorial City at Unknown Company
This position is listed as full time and able to be worked remotely.