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Last updated: 6 days ago

Remote Infrastructure / Site Reliability Engineer (SRE) - AI Trainer ($200-$200 per hour)

mercorLaredo, Texas, US
RemoteRemote
Full-time +1Full-time +1

Mercor** connects exceptional technical talent with leading organisations working on ambitious technology and AI initiatives.We are looking for experienced **Infrastructure / Site Reliability Engin... Show more

IT Manager IV (Enterprise Infrastructure Lead)

texas a m international universityLaredo, TX
$84,573.00 yearly$84,573.00 yearly
Full-timeFull-time

The Information Technology (IT) Manager IV (Enterprise Infrastructure Lead), under direction, routinely manages large and complex IT project operations.Performs limited specialized, technical dutie... Show more

IT Manager IV (Enterprise Infrastructure Lead)

texas a m international universityLaredo, TX, United States
$84,573.00 yearly$84,573.00 yearly
Full-timeFull-time

IT Manager IV (Enterprise Infrastructure Lead).Agency: Texas A&M International University.Department: Office Of Information Technology.Proposed Minimum Salary: $7,047.The Information Technology (IT... Show more

Assistant Site Leader

blue wave express car washLaredo, TX, United States
$15.00–$17.00 hourly$15.00–$17.00 hourly
Full-timeFull-time

TXSA06 Laredo - Laredo, TX 78045.Welcome to the ultimate car wash adventure at Bluewave Express Wash! We're not just in the business of washing cars we're on a mission to spread joy, conserve reso... Show more

Scanning Clerk

powell watson automotive groupLaredo, Texas, United States
Full-timeFull-time

Documents that previously filled filing cabinets and took up precious office space can now be quickly and easily scanned into a computer system and retained in a digital format.Our new scanning cle... Show more

Technical Project Manager - Data Center (Remote)

rm staffing b vLaredo, TX, US
RemoteRemote
Full-timeFull-time

Clients need a single point of contact who actually understands hardware, not just a relationship manager who has to relay every technical question.Projects span hardware deployment, structured cab... Show more

Budget / Acquisition / Financial Analysts

cybermedia technologiesLaredo, TX, United States
Full-timeFull-time

Budget / Acquisition / Financial Analysts.CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.Headquartered in McLea... Show more

Remote Software Developer $60 - $120/hourpay

micro1Laredo, Texas, US
$60.00–$120.00 hourly$60.00–$120.00 hourly
RemoteRemote
Full-timeFull-time

AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more

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Remote Infrastructure / Site Reliability Engineer (SRE) - AI Trainer ($200-$200 per hour)

Remote Infrastructure / Site Reliability Engineer (SRE) - AI Trainer ($200-$200 per hour)

mercorLaredo, Texas, US
6 days ago
Job type
  • Full-time
  • Part-time
  • Remote
Job description
  • 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.