Position: Java Architect/ Lead+ Devops+ payment domain
Location: St Louis, MO (3 days- Onsite)
• Java (In depth knowledge JDK8 onwards) programming language
• Production Issue fix experience
• Security Vulnerability fix experience (Checkmark, Blackduck, Infra Vulnerability fix knowledge)
12+ years
Technical Lead – Decision Management Platform (DMP)
Technical Lead to lead the design, development, deployment, and support of Mastercard's Decision Management Platform (DMP) and FlexTP transaction processing ecosystem. The ideal candidate will provide technical leadership across high-volume, real-time transaction processing systems, driving architecture decisions, engineering excellence, operational stability, and delivery execution across globally distributed teams.
This role requires strong expertise in enterprise Java applications, distributed systems, CI/CD, cloud-native deployments, database technologies, production support, and agile delivery practices.
Experience with payment authorization, fraud detection, transaction routing, or mission-critical financial platforms is highly desirable.
Required Technical Skills & Tools Knowledge
Programming & Development
• Java (In depth knowledge JDK8 onwards) programming language
• Production Issue fix experience
• Security Vulnerability fix experience (Checkmark, Blackduck, Infra Vulnerability fix knowledge)
• Batch Job, Shell script , unix command – Application Production Support
• Oracle Database and SQL programming language
• REST APIs
• gRPC Services
• Microservices Architecture
• Middleware - Kafka
• Knowledge of Certificate ( . JKS, .P12, Encryption, Public Key, Private Key) , MTLS, TLS1.3
DevOps & CI/CD Tools
• Jenkins Jobs
• PCF (Pivotal Cloud Foundry)
• XLR (Release Automation) good to have
• Maven
• Git , Bitbucket/Stash
• JFrog Artifactory
• Docker
• SonarQube
• Cloud & Infrastructure
• HashiCorp Vault
• CyberArk
• Chef Habitat
Monitoring & Observability
• Splunk
Preferred Experience
• Payments, Financial Services, Fraud Detection, or Card Processing domain experience.
• Experience with large-scale transaction processing environments handling millions of transactions.
• Knowledge of AI/ML-based fraud detection systems and decisioning platforms.
• Experience leading globally distributed engineering teams.
