Senior DevOps SRE Engineer

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior DevOps SRE Engineer

Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview:
Dynamic Yield by Mastercard is seeking a Site Reliability Engineer who excels at bridging the gap between infrastructure and development. In this role, you will work closely with engineering teams to ensure the reliability, scalability, and performance of our systems. A strong emphasis will be placed on observability - designing and implementing effective monitoring, logging, tracing and alerting solutions to provide deep visibility into system behavior. You should be comfortable collaborating with developers, presenting technical insights, and helping shape best practices. Your responsibilities will include incident management, automation and improvement of our observability solutions, and continuous performance tuning to ensure our platform can scale and evolve with our business needs.

Role:
• Ensure production systems meet or exceed established SLAs and SLOs by actively maintaining and enhancing system performance and uptime.
• Design and maintain end-to-end observability systems—including monitoring, logging, and distributed tracing—to detect anomalies and enable proactive issue resolution.
• Work closely with engineering teams to improve how their applications are monitored and alerted on. Help define meaningful alerts, reduce noise, and ensure developers are accountable for the operational health of their services.
• Optimize application performance on Kubernetes through resource tuning, scaling strategies, and deep performance analysis.
• Provide guidance on reliability-first design, instrumenting code for observability, and using Grafana dashboards to drive decision-making and incident response.
• Strong end-to-end flow understanding, with the ability to see the full system picture and deep dive when needed.
• Ability to take ideas from concept to production, inclouding design, implement, test, and deliver them properly.

All about you:
• 5+ years in SRE, DevOps, or Production Engineering roles
• Deep expertise in AWS, Kubernetes, Linux
• Being responsible of deploying and tuning monitoring tools like Prometheus, Thanos and any time-series databases for storing metrics.
Logging responsibilities with ELK stack, Loki, Grafana or any alternatives.
Experience with tracing – opentelemetry, tempo, jaeger
• Strong understanding of incident management processes and best practices.
• Experience with automation tools and practices for deployment and infrastructure management.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Ownership mindset, proactive and reliable
• Experience designing, creating, and maintaining agent skills, prompts, and instruction sets for AI-powered workflows.
• Familiarity with performance optimization and cost management strategies in cloud environments, including resource rightsizing, usage monitoring, and cost governance.
• Experience supporting AI/ML or LLM-based systems, including observability and evaluation tools such as Langfuse, LangSmith, or similar platforms.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.