Infrastructure / Site Reliability Engineer (Remote)

Mercor connects exceptional technical talent with leading organisations working on ambitious technology and AI initiatives. We are looking for experienced Infrastructure / Site Reliability Engineers (SREs) to join a full-time engagement focused on building and operating complex, enterprise-grade infrastructure. We are seeking engineers with strong hands-on experience building, operating, debugging, and scaling sophisticated production systems. The ideal candidate has worked extensively with Kubernetes, AWS, observability platforms such as Datadog, and modern infrastructure tooling.

This is a full-time opportunity, and candidates must be able to commit to full-time engagement.

What You'll Do

• Build, operate, and improve highly available and scalable production infrastructure.

• Manage and optimise Kubernetes-based production environments.

• Design and maintain cloud infrastructure, primarily across AWS.

• Improve system reliability, availability, scalability, and operational efficiency.

• Build and maintain observability across infrastructure and applications using Datadog or similar platforms.

• Investigate production incidents, perform root-cause analysis, and implement durable fixes.

• Improve monitoring, alerting, logging, tracing, and overall production visibility.

• Develop automation and internal tooling to reduce manual operational work.

• Partner closely with software engineering teams on deployments, infrastructure, and production reliability.

• Contribute to infrastructure architecture and technical decisions for complex distributed systems.

Ideal Background

• Professional experience in Infrastructure Engineering, Site Reliability Engineering (SRE), Platform Engineering, DevOps, or Production Engineering.

• Hands-on experience operating complex, enterprise-grade production systems.

• Strong production experience with Kubernetes.

• Strong experience with AWS and cloud-native infrastructure.

• Experience with Datadog, Prometheus, Grafana, or comparable observability platforms.

• Experience with Infrastructure as Code using Terraform, Pulumi, or equivalent technologies.

• Strong understanding 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.

Strong Signals

• Experience operating Kubernetes and cloud infrastructure at significant production scale.

• Experience supporting high-traffic or mission-critical applications.

• Experience building infrastructure or platform tooling used by large engineering organisations.

• Ownership of production reliability, on-call operations, incident response, or capacity planning.

• Experience working within sophisticated, large-scale distributed systems.

• Demonstrated improvements to SLOs/SLIs, observability, deployment reliability, infrastructure performance, or operational efficiency.

Why Join

• Solve challenging reliability, scalability, and performance problems across enterprise-grade production systems.

• Work extensively with technologies such as Kubernetes, AWS, Datadog, Terraform/Pulumi, and modern cloud-native tooling.

• Take meaningful ownership of production reliability, observability, infrastructure architecture, and operational improvements.

• Competitive hourly compensation reflecting your experience and technical expertise.

• Join a network of highly skilled engineers working on ambitious projects with leading technology and AI organisations.