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Cloud architect Jobs in Laredo, TX

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Cloud architect • laredo tx

Last updated: 13 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

Remote Agent Engineer - AI Trainer ($100-$500 per hour)

MercorLaredo, Texas, US
RemoteRemote
Full-timeFull-time

We are looking for engineers who build and operate LLM agents in production, and who have real visibility into how agents are actually used inside a company.You have probably: - Shipped an agent th... Show more

Traveling Electrical Superintendent - Oil, Gas, & Chemical (OGC)

KiewitLaredo, TX, US
Full-timeFull-time

As an Electrical Superintendent you will play a significant part in the success for Kiewit.You will function as a field supervisor and may have responsibility for multiple Foreman, and/or laborers/... 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

CS Architect, Sr

EntergyWoodlands, Texas, United States
Full-timeFull-time

Security Architect utilizes their knowledge of IT and information security engineering to lead and/or participate in the development of assigned projects or solutions.Security Architect focuses on ... 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

 • Promoted

Remote Cybersecurity Research Expert – Offensive Security & Vulnerability Research - AI Trainer

MercorLaredo, Texas, US
RemoteRemote
Part-timePart-time

We're looking for highly accomplished **Cybersecurity Research Experts** to help evaluate cutting-edge AI systems in advanced security reasoning, vulnerability analysis, exploit development, and se... 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
13 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.