Senior Cloud Infrastructure Engineer

🔥 1 hour ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nexaminds

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤖 Artificial Intelligence

💼 Consulting

🤝 B2B

Artificial Intelligence • Consulting • B2B

Nexaminds is an AI consulting and technology services company that helps businesses leverage artificial intelligence and machine learning to increase efficiency, reduce costs, and unlock new revenue streams. The firm offers AI/ML development, data engineering, application modernization, cloud transformation, agile development, and site reliability engineering (SRE) services. Nexaminds positions itself as a B2B partner, with case studies in personalized retail/subscription platforms and logistics/transportation modernization where it applies AI to improve engineering practices, QA, and operational efficiency.

📋 Description

• Design, build, and maintain automated patching and update workflows for operating systems, container images, Kubernetes, and software dependencies • Develop and operate AI agents and automated workflows supporting infrastructure operations, including incident detection, triage, and response • Reduce manual on-call workload and improve mean time to recovery through automation • Support Ruby on Rails and Golang web services through production readiness reviews and operational preparation • Monitor production service health, availability, latency, logs, and container-level health signals • Troubleshoot infrastructure and production incidents across cloud services, databases, regions, and Kubernetes environments • Participate in blameless postmortems and turn recurring incidents into automated workflows and AI-driven solutions • Contribute code changes to infrastructure, CI/CD pipelines, and observability tooling • Collaborate with distributed engineering teams to improve service reliability, observability, and availability against SLAs • Participate in agile planning, story definition, work estimation, and continuous improvement initiatives

🎯 Requirements

• 5+ years of professional experience in cloud infrastructure, operating customer-facing production systems at scale • Strong experience with AWS cloud services and cloud infrastructure operations • Hands-on experience building or operating AI-driven automation, such as AI agents, automated patching, dependency updates, or operational workflows • Professional experience with Linux, Bash, Terraform, Python, Kubernetes, Helm, ArgoCD, and Nginx • Experience with AWS services including EC2, Auto Scaling, Application Load Balancer (ALB), EKS, ECS, Spot Fleet, CloudWatch, CloudFront, RDS, and ElastiCache Redis/Valkey • Experience with observability platforms such as Datadog, New Relic, or Sumo Logic • Strong analytical and problem-solving skills for troubleshooting full-stack web services and production infrastructure • Experience monitoring service availability, latency, logs, and container health signals • Excellent communication and collaboration skills, including technical documentation, code reviews, and change management • Ability to work collaboratively with distributed teams and communicate effectively in English • Willingness to participate in an on-call rotation covering workdays and occasional weekends

🏖️ Benefits

• Stock options • Remote work options • Flexible working hours • Benefits above the law • Mentorship and opportunities to learn and level up

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