Sr. SRE | Hybrid in Mexico City
Senior Site Reliability Engineer supporting an AI, Data & UX program (for client Mastercard): operating and scaling enterprise AI platforms, CI/CD pipelines, monitoring and cloud infrastructure end to end. Hybrid role in Mexico City using Unix, Python, SQL, Jenkins, Splunk and Dynatrace; advanced English and Spanish required.
- Compensation
- MX$80K
- Location
- Mexico, México, Mexico
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Sre
- Posted
Skills
Must have
- BS degree in Computer Science or related technical field (e.g., physics or mathematics), or equivalent practical experience
- Experience with algorithms, data structures, scripting, pipeline management, and software design
- Systematic problem-solving approach, strong communication skills, ownership and drive
- Ability to debug and optimize code and automate routine tasks
- Experience dealing with difficult situations and making decisions with a sense of urgency
- Experience supporting production AI, machine learning, data platforms, or large-scale distributed systems
- Experience with CI/CD tools like Git/BitBucket, Jenkins, Maven, Artifactory and Chef
- Advanced conversational English and Spanish (will be evaluated)
- Foreigners residing in Mexico must have valid INE, CURP, NSS and RFC
- Tech skills: Unix, Shell Scripting, SQL, Python, Apache NiFi, Splunk, Dynatrace, Jenkins, GIT, XLR, AI and agentic workflows
Nice to have
- Experience in one or more of: C, C++, Java, Python, Go, Perl or Ruby
- Experience designing and implementing an efficient CI/CD flow from dev to prod with minimal manual effort
Full description
Important IT company At the Latin American level, growth requires:
Sr. SRE (Site Reliability Engineer)
Overview
We are looking for a Senior Site Reliability Engineer who can help us solve problems and enhance our capabilities by supporting applications, services, and platforms. This position is to support the AI Data and User Experience program which will establish a Unified AI, Data & UX Organization to enable faster delivery, differentiated AI Products, and scalable innovation.
Tech Skills
Unix, Shell Scripting, SQL, Python, Apache Nifi, Splunk, Dynatrace, Jenkins, GIT, XLR, AI and Agentic workflows etc.
This role provides the opportunity to influence and operate the foundational AI platforms that enable innovation. Rather than focusing solely on individual AI models or applications, you will help build and scale the enterprise platforms, tooling, operational practices, and cloud infrastructure that support the next generation of AI capabilities across the organization.
Role
- 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 activities such as system design consulting, capacity planning and launch reviews.
- Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
- Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
- Support the application CI/CD pipeline for promoting software into higher environments through validation and operational gating, and lead Mastercard in DevOps automation and best practices.
- Practice sustainable incident response and blameless post-mortems.
- Take a holistic approach to problem solving, by connecting the dots during a production event thru the various technology stack that makes up the platform, to optimize mean time to recover
- Work with a global team spread across tech hubs in multiple geographies and time zones
- Share knowledge and mentor junior resources
Qualifications
- BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience.
- Experience with algorithms, data structures, scripting, pipeline management, and software design.