Lead Software Engineer (Java - Observability)

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

Lead Software Engineer (Java - Observability)

Who is Mastercard

Mastercard is a global technology company in the payments industry. We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.

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.

Organizational Overview

Reactive Systems Architecture is an integration program that establishes standard patterns of integration for Mastercard Programs and between Mastercard and its customers. We offer a range of services in application integration via Messaging/Events. Our vision is to enable our customers to consume our products and services through full-service capabilities. Our customers can consume our services with as frictionless of an experience as possible to enable them to get up and running as fast as possible with the security and performance they need.

Job Description

We are seeking a highly skilled and motivated Lead Software Engineer to join our team. This individual will be responsible for overseeing our monitoring and observability efforts, ensuring the health and performance of our systems through proactive measures and self-healing autonomics. The ideal candidate will have a strong background in using open source tools for monitoring and observability, along with a passion for driving continuous improvement and innovation. This will include reactive tuning based on metrics, logging and distributed tracing, but also proactive changes via Machine Learning.

Responsibilities:

1. Develop and implement comprehensive observability strategies to monitor the performance and health of our systems.
2. Utilize open source tools to create robust monitoring solutions that provide actionable insights.
3. Lead initiatives in self-healing autonomics to ensure system resilience and uptime.
4. Collaborate with cross-functional teams to identify and resolve issues proactively.
5. Drive the adoption of best practices in monitoring and observability across the organization.
6. Analyze data and metrics to continuously improve system performance and reliability by automating manual processes and capacity planning.
7. Develop Machine Learning algorithms to integrate with AI systems that will consume and learn from our monitoring data.
8. Stay up-to-date with the latest trends and technologies in observability and autonomics.

Requirements:

1. Bachelor's degree in Computer Science, Information Technology, or a related field.
2. Proven experience in monitoring and observability using open source tools (e.g., Prometheus, Grafana, Jaeger, DataDog).
3. Expertise in self-healing autonomics and automated system recovery.
4. Strong analytical and problem-solving skills.
5. Excellent communication and collaboration abilities.
6. Ability to work in a fast-paced and dynamic environment.

Preferred Skills:

1. Experience with messaging systems like Kafka, NATS, and Flink.
2. Java
3. Familiarity with Chef or Ansible.
4. Machine Learning

#AI2 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks come 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;
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.