Infrastructure / Site Reliability Engineer (SRE)
Listed pay: $200 / hr
What the posting lists, in US dollars an hour.
If you're hired through a link here and start paid work, Mercor pays this site a referral fee. Your pay is unaffected.
Prepare for the interviewBefore you apply
Details from this posting, and how Mercor screens and pays.
- LocationRemote, open to US, UK, Canada, Australia, NZ & Western Europe
- ScreeningAssessments and an AI interview of about 20 minutes. See what to expect
- How Mercor paysWeekly, on Wednesdays, via Stripe. What Mercor does not say
- PayoutsMercor's website says it pays out over $4M a day (read 5 Oct 2026)
Checked today
Source: Mercor
Role details
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.
From the Mercor posting.
Applying on Mercor
What happens after you click
- The link opens this role on Mercor. Sign up and apply from there.
- Upload a resume, complete the assessments the role asks for and verify your work authorisation.
- An AI interview of about 20 minutes. The confirmation screen then shows the expected timeline for that role.
- If Mercor hires you, you are paid weekly, on the Wednesday after each work week, via Stripe. Mercor says first payouts are held for 7 days.
- The work is paid by the hour at $200 an hour as listed.
- Remote — open to United States, Canada, United Kingdom, Ireland, Australia, New Zealand, Germany, France, Netherlands, Belgium, Austria, Switzerland, Denmark, Sweden, Norway, Finland, Iceland, Italy, Spain, Portugal, Greece, Luxembourg, Malta, Cyprus, Liechtenstein and Monaco.
If you're hired through a link here and start paid work, Mercor pays this site a referral fee. Your pay is unaffected.
Red Pen Jobs is independent. We are not affiliated with, endorsed by, or acting for Mercor in any way, and we do not recruit on its behalf.
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