CareerPlan

Senior AI Operations Engineer

Guadalajara, JaliscoFull-time2026-10-25 → 2026-10-28

Core

Design, automate, and operate enterprise-scale AI platforms and infrastructure to support mission-critical workloads across Azure and AWS environments.

Role type

Senior Site Reliability Engineer / Platform Engineer (AI Infrastructure)

Builds

Highly reliable, observable, and automated AI platforms running on Azure and AWS

Domain

Pharmaceutical / Cloud Infrastructure / AI Operations

Deliverable

infrastructure

Required skills

Site Reliability Engineering, Cloud Operations, Observability, Python, Bash, Distributed Systems, Containerization, Incident Management, Technical Mentoring

Preferred skills

AI/ML Operations, Model Serving, LLM Infrastructure, Infrastructure-as-Code (Terraform/CloudFormation), Regulated Environments, SRE/ITIL Certifications

Technologies

Azure, AWS, Datadog, Grafana, Splunk, New Relic, OpenTelemetry, Python, Bash, Terraform, CloudFormation

Responsibilities

Design and implement enterprise-scale observability solutions; Build monitoring, alerting, telemetry, and distributed tracing capabilities; Lead major incident response and root cause investigations; Create AI-driven operational tools for incident diagnosis and runbook automation; Build scalable automation solutions to reduce operational toil; Partner with product engineering teams to influence platform readiness and reliability standards; Coach Site Reliability Engineers and Operations Engineers on best practices.