Principal Associate SRE – Reliability & Automation

Capital One; Ecatepec de Morelos; Híbrido; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Capital One is building a Site Reliability Engineering center in Mexico City, recruiting Principal Associate SREs to join founding teams. You’ll work on payment‑critical systems across Discover Network and related networks, focusing on settlement reliability, alert quality, observability, and automation impacting millions of daily transactions.

You’ll engage in on‑prem and AWS environments, contribute to runbooks and dashboards, and leverage AI automation tools to accelerate engineering efforts.

Formación

• Bachelor's degree required in a related field.
• 4+ years of DevOps/SRE experience; internship not counted.
• Experience with cloud native tech (AWS, Kubernetes, OpenShift).
• Strong troubleshooting across distributed systems and cloud/on‑prem environments.

Responsabilidades

• Build and maintain reliability tooling (dashboards, alerts, runbooks).
• Develop automation to reduce toil using Python/Java/shell scripting.
• Troubleshoot production issues across on‑prem and AWS.
• Contribute to observability: dashboards and monitoring systems.
• Participate in on‑call rotations and postmortems.
• Leverage AI tools to accelerate engineering tasks.
• Manage secrets and certificates with automation.
• Deliver through CI/CD pipelines and API automation.

Conocimientos

English fluency

SRE / reliability engineering

DevOps experience

Educación

Bachelor's degree

Herramientas

AWS

Kubernetes

OpenShift

Datadog/Observe

HashiCorp Vault

CI/CD pipelines

AI tooling (Claude Code)

Descripción del empleo

Capital One is building a Site Reliability Engineering center in Mexico City, recruiting Principal Associate SREs to join founding teams. You’ll work on payment‑critical systems across Discover Network and related networks, focusing on settlement reliability, alert quality, observability, and automation impacting millions of daily transactions.

You’ll engage in on‑prem and AWS environments, contribute to runbooks and dashboards, and leverage AI automation tools to accelerate engineering efforts.