Senior Cloud Infrastructure Engineer

Nexaminds

. Design, build, and maintain automated patching and update workflows for operating systems, container images, Kubernetes, and software dependencies .

Posted 11/4/2026full-timeRemote • MexicoSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud infrastructure operations, particularly with AWS services, and excels in developing AI-driven automation workflows. Strong analytical skills support effective troubleshooting and incident management in production environments.

Highest-signal resume keywords

AWS Cloud ServicesAI-Driven AutomationKubernetesLinuxTerraform

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonBashRuby on RailsHelmArgoCDNginxCI/CD PipelinesObservability PlatformsIncident DetectionTroubleshooting

Soft Skills

CommunicationCollaborationAnalytical SkillsProblem-SolvingTechnical Documentation

Tools & Technologies

DatadogNew RelicSumo LogicCloudWatchCloudFront

Industry Keywords

Cloud InfrastructureProduction SystemsService ReliabilityAutomated WorkflowsOn-Call Rotation

Tech Stack

Tools & technologies

AWSCloudEC2KubernetesLinuxNGINXPythonRedisRubyRuby on RailsTerraformGo

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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