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Infrastructure / Site Reliability Engineer (SRE)

MercorLegit · not rated yetPosted 19 days ago

Pay: $200/hr

Who can apply
Open worldwide
Hours
40 hrs/week · Part-time
Where
Remote, work from home
Job type
Expert (SME) review
Openings
10 openings

At a glance: A part-time, remote expert (SME) review job with Mercor. It pays $200/hr for 40 hours a week. People in any country can apply.

What happens after you click Apply

  1. You leave AI Trainer HQ and go to Mercor’s own site.
  2. Upload your résumé on work.mercor.com
  3. Confirm your work authorization
  4. Sit the AI interview, which takes about 20 minutes
  5. Complete any written assessment attached to the listing
  6. On receiving an offer, sign it, configure payouts and verify your identity

How this pay compares

This job pays more than 98% of the 205 other software engineering jobs on the board that state pay; 2% pay more.

This job
$200/hrAs listed
Median on Mercor
$80/hrFrom 295 other paid jobs
Median in software engineering
$65/hrFrom 205 other paid jobs
How we compare pay

Requirements

Qualifications
  • Not specified in the listing
Languages
  • English
Equipment
  • Computer with a reliable internet connection

About this job

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.

Listing history

First seen on our board
(9 days ago)
Posted by Mercor
(19 days ago)
Last checked
Source
Mercor

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