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Job Description
Structured overview of role & requirementsAbout This Role
Own and enhance the reliability, availability, and performance of Mastercard Fraud Decision Management Platform supporting over a billion daily transactions.
Develop, operate, and troubleshoot CI/CD pipelines and hybrid deployment environments including AWS EKS/Kubernetes, on-premise cloud, and traditional infrastructure.
Collaborate within a globally distributed Agile team to improve system observability, automate runtime operations, and support real-time fraud decisioning services.
Minimum Requirements
Experience building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, Python, and shell scripting.
Hands-on experience with cloud platforms (AWS or Azure), containerization (Docker), Infrastructure as Code tools (Terraform, CloudFormation), and Linux production environments.
Demonstrated ability with monitoring/logging tools (e.g., Splunk, Dynatrace) and configuration management (Chef or equivalent).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Practitioner with strong site reliability engineering (SRE) knowledge and experience supporting multi-environment production systems at global scale.
Operates effectively within Agile Scrum or SAFe teams to deliver scalable, secure, and observable cloud-native services.
Technical aptitude in troubleshooting complex distributed systems and keen to integrate AI-driven automation for incident analysis and observability enhancements.