Senior SRE for AI Platform & Automation

Turtle Trax S.A.; Ciudad de México; On-site; MXN 900,000 - 1,500,000; Full time

Job summary

Mastercard is seeking a Senior Site Reliability Engineer to support AI Data and UX platforms in Mexico City. The role involves owning service lifecycles, improving resiliency, and guiding CI/CD, automation, and incident response across a global team.

You will work with Unix, Python, SQL, and modern tooling to ensure scalable, reliable infrastructure and rapid delivery of AI capabilities. Office presence 1–2 days/week is required.

Qualifications

• BS degree or equivalent practical experience in a technical field.
• Experience with algorithms, data structures, scripting, pipeline management, and software design.
• Strong problem-solving, ownership, and communication skills.
• Ability to debug and automate routine tasks.

Responsibilities

• 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 loop to development teams on operational gaps or resiliency concerns
• Support services before they go live through capacity planning and launch reviews.
• Maintain services after go-live by monitoring availability, latency and health.
• Scale systems through automation and evolve for reliability and velocity.
• Support CI/CD pipeline for promoting software into higher environments and lead DevOps practices.
• Practice sustainable incident response and blameless post-mortems.
• Holistically troubleshoot by connecting dots across tech stack to reduce MTTR.
• Collaborate with global teams across geographies and share knowledge.

Skills

Unix

Shell scripting

SQL

Python

Apache NiFi

Splunk

Dynatrace

Jenkins

Git

XLR

AI workflows

Agentic workflows

Education

BS degree in Computer Science or related technical field

Tools

Git/Bitbucket

Jenkins

Maven

Artifactory

Chef

Job description

Mastercard is seeking a Senior Site Reliability Engineer to support AI Data and UX platforms in Mexico City. The role involves owning service lifecycles, improving resiliency, and guiding CI/CD, automation, and incident response across a global team.

You will work with Unix, Python, SQL, and modern tooling to ensure scalable, reliable infrastructure and rapid delivery of AI capabilities. Office presence 1–2 days/week is required.