Software Engineer II
Role Overview
The Mastercard Authentication team in Dublin is hiring a Software Engineer II with emphasis on site reliability to support and evolve our Authentication and Post-Authentication platforms.
These platforms underpin real-time fraud decisioning at global scale, processing over a billion transactions daily.
The team is responsible for ensuring the reliability, availability, and performance of the Mastercard Fraud Decision Management Platform (DMP), which provides critical authentication and fraud prevention capabilities.
Our focus is on operating highly resilient systems in the cloud, improving observability, and driving automation across build, deployment, and runtime operations.
This role is ideal for someone who enjoys owning production systems end-to-end, is driven by improving service reliability, and takes a pragmatic, engineering-led approach to solving operational challenges.
Key Skills for This Role
Full Job Posting
Skills
- Experience of building CI/CD pipelines using tools such as Jenkins, Github Actions, Python and shell scripting
- Ability to design and maintain end-to-end deployment pipelines (build, test, deploy, rollback).
- Hands-on experience with monitoring, logging, and alerting tools (e.g., Splunk, Dynatrace, OpenTelemetry).
- Experience with build tools (Maven/Gradle) and dependency management.
- Exposure to configuration management and automation tools (Chef or equivalent).
- Experience with cloud platforms (AWS, Azure)
- Experience with containerization (Docker) and image lifecycle management.
- Experience with Infrastructure as Code (IaC) concepts and tools (e.g., Terraform, CloudFormation or similar).
- Understanding of platform engineering principles, including building reusable deployment templates and shared services.
- Experience supporting multi-environment setups (dev, test, staging, production) with proper isolation and governance.
- Strong troubleshooting skills in Linux-based production environments.
- Awareness of SRE principles and reliability practices.
- Experience developing and integrating AI-driven workflows and automation for use cases such as incident analysis, anomaly detection, and intelligent observability or CI/CD enhancements.
- Passionate about Agile software development and working with SAFe or Scrum.
Nice to Have
- Proficiency with Java JDK 8 or greater.
- Expertise in Junit or other automated unit testing frameworks.
- Knowledge of Tomcat, Spring, Spring Boot
- Experience with SQL, Multi-threading, Message Queuing systems.
- Knowledge of distributed systems and messaging queuing systems.
- Knowledge of Business Rules Management Systems.
- Other
- Excellent communication (verbal and written) and strong collaboration skills.
- Show initiative and demonstrate a willingness to take on challenging opportunities.
- Passionate about code quality and coding best practices.
- Must be driven, highly motivated and a strong team-player.
- Interested in cultivating a high performance team environment.
- Fluency in English.
- 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.
Qualifications
- Experience of building CI/CD pipelines using tools such as Jenkins, Github Actions, Python and shell scripting
- Ability to design and maintain end-to-end deployment pipelines (build, test, deploy, rollback).
- Hands-on experience with monitoring, logging, and alerting tools (e.g., Splunk, Dynatrace, OpenTelemetry).
- Experience with build tools (Maven/Gradle) and dependency management.
- Exposure to configuration management and automation tools (Chef or equivalent).
- Experience with cloud platforms (AWS, Azure)
- Experience with containerization (Docker) and image lifecycle management.
- Experience with Infrastructure as Code (IaC) concepts and tools (e.g., Terraform, CloudFormation or similar).
- Understanding of platform engineering principles, including building reusable deployment templates and shared services.
- Experience supporting multi-environment setups (dev, test, staging, production) with proper isolation and governance.
- Strong troubleshooting skills in Linux-based production environments.
- Awareness of SRE principles and reliability practices.
- Experience developing and integrating AI-driven workflows and automation for use cases such as incident analysis, anomaly detection, and intelligent observability or CI/CD enhancements.
- Passionate about Agile software development and working with SAFe or Scrum.
About Mastercard
Global payment processing and financial technology service provider.
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