Senior Cloud Infrastructure Engineer

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design, develop, and sustain automated workflows for patching and updating operating systems, container images, Kubernetes, and software dependencies.

• Create and manage AI agents and automated processes that enhance infrastructure operations, including incident detection, triage, and response.

• Minimize manual on-call responsibilities and enhance mean time to recovery through effective automation.

• Assist Ruby on Rails and Golang web services by conducting production readiness assessments and operational preparations.

• Oversee the health, availability, latency, logs, and container-level health signals of production services.

• Diagnose infrastructure and production issues across cloud services, databases, regions, and Kubernetes environments.

• Engage in blameless postmortems and transform recurring incidents into automated workflows and AI-based solutions.

• Contribute code enhancements to infrastructure, CI/CD pipelines, and observability tools.

• Work in collaboration with distributed engineering teams to enhance service reliability, observability, and adherence to SLAs.

• Take part in agile planning, story definition, work estimation, and initiatives for continuous improvement.

⛳️ Requirements

• A minimum of 5 years of professional experience in cloud infrastructure, managing customer-facing production systems at scale.

• Extensive experience with AWS cloud services and operations concerning cloud infrastructure.

• Practical experience in building or managing AI-driven automation, including AI agents, automated patching, dependency updates, or operational workflows.

• Professional expertise in Linux, Bash, Terraform, Python, Kubernetes, Helm, ArgoCD, and Nginx.

• Familiarity with AWS services such as EC2, Auto Scaling, Application Load Balancer (ALB), EKS, ECS, Spot Fleet, CloudWatch, CloudFront, RDS, and ElastiCache Redis/Valkey.

• Experience with observability platforms, including Datadog, New Relic, or Sumo Logic.

• Strong analytical and problem-solving abilities for troubleshooting full-stack web services and production infrastructure.

• Experience in monitoring service availability, latency, logs, and container health signals.

• Excellent communication and collaboration capabilities, including technical documentation, code reviews, and change management.

• Ability to work effectively with distributed teams and communicate proficiently in English.

• Willingness to participate in an on-call rotation covering weekdays and occasional weekends.

🏝️ Benefits

• Stock options

• Remote work options

• Flexible working hours

• Benefits that exceed legal requirements

• Mentorship and opportunities for learning and professional development