Mastercard

Lead Software Engineer for SRE & Automation

O'Fallon, MO US
Azure Machine Learning Docker Kubernetes Microservices AWS Python Bash Java
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Description

Our Purpose

We work 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. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Lead Software Engineer for SRE & Automation

Overview:
"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.

The Cyber & Intelligence Solutions team is responsible for MasterCard’s safety and security related product development efforts to protect the integrity of the electronic payment system as well as ensure payments are convenient yet secure. The products are primarily focused on Cyber Security, authentication, fraud prevention, risk mitigation and dispute resolution across all payment channels as well as all stakeholders, issuers, acquirers, merchants, processors, and consumers. The key objectives of the solutions are to prove identity, reduce abandonments, reduce fraud, increase approval rates, and secure the payments ecosystem.

Mastercard software engineering teams leverage Agile development principles, advanced development and design practices, and an obsession over security, reliability, and performance to deliver solutions that delight our customers. We're looking for talented and accomplished Software Engineer to join our SRE team as we develop advanced technologies and applications that are revolutionizing payments, while delivering unparalleled values and customer experience.
• Are you passionate about software engineering and operation excellence of cloud-native, real-time, high performant, distributed and vastly scalable applications?
• Do you enjoy seeing the impact your work and code has on a wide range of customers globally?
• Do you thrive in a place where you are continuously learning more while growing your skills and career?
• Do you want to join a Company that offers a competitive benefits-and rewards program that attracts, develops, and retains the most talented employees around the world?

Role:
• Work alongside development, operations, and AI teams to design and build resilient, scalable services, and deliver automated solutions
• Strong ownership of the SRE team’s analysis and implementation, deep in the maintenance characteristics, runtime properties and dependencies including hardware, operating system, and build
• Analyze and synthesize production events and outcome to provide insights that drive building solutions to improve reliability, operability, and customer experience of applications, platforms, functions, and services.
• Focus on the resilience aspect of architecture and design to achieve availably, scalability and performance
• Enable operations excellence by building tools and capabilities for observability, failure predication and prevention, failure detection and mitigation, as well as operational reliability and efficiency. Areas include but not limited to CI/CI Pipeline Management, Monitoring & Alerting Automation, Incident Management & Response automation, AI-driven monitoring & Incident Response, and AI-powered optimization.
• Participate in production incident calls & escalation as an authoritative product and technology SME and decision maker

About You:
• Obsessed with bringing software engineering principles to infrastructure and operations problems to create and operate highly scalable and reliable applications and systems.
• Passionate about delivering the best customer experience through engineering and operations excellency, focusing on building, and improving resiliency, performance, scale, operability, and automation.
• Hands-on experience with on-premise machines and cloud platforms like PCF, AWS, Azure, serverless technology, NoSQL databases, micro-service design.
• Strong knowledge of CI/C, DevOps tools (e.g., Jenkins, Bitbucket, GitLab, etc.) and version control systems.
• Proficiency in programming languages such as Java, Python, Bash for scripting automation tasks.
• Experience designing scalable fault tolerant platforms that are resilient to infrastructure failure.
• Ability to integrate machine learning models into infrastructure for automation and predictive monitoring.
• Expertise in containerization and orchestration tools (e.g., Docker, Kubernetes).
• Familiarity with monitoring tools like Prometheus, Grafana, Dynatrace, Splunk and alerting frameworks.
• Experience with building and automating scalable, reliable, and self-healing systems.
• Knowledge of network security, firewall configuration, and security policies (e.g., TLS/SSL, access control).
• Experience with security automation tools such as HashiCorp Vault, and other identity and access management systems.
• Strong troubleshooting skills.
• Excellent communication and collaboration skills to work cross-functionally with development, operations, and QA teams.

Preferred – experience in these areas:
• Familiarity with Agile and DevOps practices.
• Experience with automation in large-scale distributed systems.
• Experience working with both microservices and monolith architecture.
• Familiar with AI/ML-driven infrastructure optimization
• IT Service Management/Operations
• Infrastructure and platform knowledge/experience, especially F5 BIG-IP, including LTM (Local Traffic Manager), GTM (Global Traffic Manager), and iRules scripting.
• Understanding of load balancing strategies, SSL termination, and traffic management for high availability systems.
• Experience with Akamai and Nginx


Soft Skills/Mindset:
• Very curious and obsessed with optimization
• Problem-solving mindset and analytical thinking.
• Ability to thrive in a fast-paced and high-pressure environment.
• Team player with excellent collaboration skills

Mastercard is an 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. 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 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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.




Mastercard
Mastercard
Finance Financial Services Information Technology Payments

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