Senior SRE — AI Platform & Automation Leader

Turtle Trax S.A.; Región Centro; Híbrido; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Mastercard is seeking a Senior Site Reliability Engineer to support AI Data and UX initiatives, strengthening enterprise platforms, tooling, and cloud infrastructure for scalable AI capabilities. You will work with global teams to enhance reliability, performance, and automation across services.

The role emphasizes end‑to‑end lifecycle improvement, incident response, and scalable operations within a unified AI, Data & UX program.

Formación

• BS degree or equivalent practical experience in Computer Science or related field.
• Experience with algorithms, data structures, scripting, pipeline management, and software design.
• Strong problem-solving, communication, and ownership mindset.
• Experience with debugging and automating routine tasks.

Responsabilidades

• Engage in and improve the whole lifecycle of services—from inception and design, through deployment, operation and refinement.
• Analyse ITSM activities of the platform and provide feedback to development teams on operational gaps.
• Support services before they go live through capacity planning and launch reviews.
• Maintain services post-launch by monitoring availability, latency and health.
• Scale systems through automation and improve reliability and velocity.
• Support CI/CD pipelines and lead DevOps automation best practices.
• Practice blameless post-mortems and incident response.
• Coordinate across global teams to resolve production events and improve MTTR.
• Share knowledge and mentor junior resources.

Conocimientos

Unix

Shell scripting

SQL

Python

CI/CD concepts

System design

Educación

BS degree in Computer Science or related technical field

Herramientas

Git

GitHub/Bitbucket

Jenkins

Maven

Artifactory

Chef

Descripción del empleo

Mastercard is seeking a Senior Site Reliability Engineer to support AI Data and UX initiatives, strengthening enterprise platforms, tooling, and cloud infrastructure for scalable AI capabilities. You will work with global teams to enhance reliability, performance, and automation across services.

The role emphasizes end‑to‑end lifecycle improvement, incident response, and scalable operations within a unified AI, Data & UX program.