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
- You leave AI Trainer HQ and go to Mercor’s own site.
- Upload your résumé on work.mercor.com
- Confirm your work authorization
- Sit the AI interview, which takes about 20 minutes
- Complete any written assessment attached to the listing
- 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
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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