Senior Site Reliability Engineer – Hybrid (Mexico City)

Devopsroles; Ciudad de México; Híbrido; MXN 1.477.000 - 1.662.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Excellent superior benefits

Descripción de la vacante

Devopsroles in Mexico City is seeking a Senior Site Reliability Engineer to support AI Data and UX initiatives, strengthening the reliability of applications, services, and platforms. You will drive lifecycle improvements, automation, and observability across global teams.

Responsibilities include capacity planning, incident response, and collaboration with developers to ensure scalable CI/CD, governance, and high availability of critical AI infrastructure.

Formación

• BS in CS or related field or equivalent practical experience.
• Experience with algorithms, data structures, scripting, pipeline management, and software design.
• Strong problem solving, ownership, and communication abilities.

Responsabilidades

• Engage in and improve the whole lifecycle of services from inception to refinement.
• Analyze ITSM activities and provide feedback on resiliency gaps.
• Support services before go-live through capacity planning and reviews.
• Maintain service health by monitoring availability and latency.
• Scale systems via automation and improve reliability and velocity.
• Assist CI/CD and lead in DevOps automation and best practices.
• Practice blameless post-mortems after incidents.
• Diagnose production events across tech stacks to reduce recovery time.
• Collaborate with a global team across time zones and geographies.
• Share knowledge and mentor junior resources.

Conocimientos

Unix

Shell scripting

SQL

Python

Apache NiFi

Splunk

Dynatrace

Jenkins

Git

XLR

AI workflows

Agentic workflows

Educación

BS in CS or related field

Descripción del empleo

Devopsroles in Mexico City is seeking a Senior Site Reliability Engineer to support AI Data and UX initiatives, strengthening the reliability of applications, services, and platforms. You will drive lifecycle improvements, automation, and observability across global teams.

Responsibilities include capacity planning, incident response, and collaboration with developers to ensure scalable CI/CD, governance, and high availability of critical AI infrastructure.