Amara TOURE

Senior Java / DevOps Engineer — PMU (Pari Mutuel Urbain), Paris • Led the core application module within PMU’s high-volume transaction system, running on AWS cloud with Docker and Kubernetes, ensuring scalability, resilience, and high availability. • Designed and maintained robust Java microservices, integrating multiple data stores (SQL & NoSQL) and real-time streaming with Kafka for event-driven processing. • Applied software engineering best practices: clean code, SOLID principles, automated testing (unit, integration), CI/CD with GitLab, monitoring, and security hardening. • Optimized performance by reducing latency, improving horizontal scalability, and orchestrating workloads with Kubernetes (pods, autoscaling, fault tolerance). • Collaborated with product, QA, and infrastructure teams to deliver agile, compliant, and business-aligned solutions in a highly regulated financial environment.

2019 • Engineered synchronization flows across SITI reference-data modules (securities, accounts, counterparties) to support large-scale custody and settlement operations. • Designed Java microservices and REST/JSON APIs with Oracle persistence; implemented Kafka event streams for trade lifecycle and corporate-actions processing (announcements, entitlements, instructions). • Delivered two business applications used by operations to view/create/update contracts, securities accounts, and cash accounts, ensuring straight-through processing (STP) and auditability. • Aligned interfaces and data models with SWIFT ISO 15022/20022 messaging to reduce breaks and manual interventions in settlements and corporate actions. • Contributed to regulatory reporting enablement (MiFID II, SFTR) via robust validation, reconciliation, and traceability across post-trade workflows. • Worked within an 11-person Scrum team practicing TDD; set up CI/CD with Git/Maven/Jenkins, enforced code quality with SonarQube, and wrote automated tests (JUnit for Java, GoogleTest for C++ components). • Delivered in a containerized environment (Docker/Kubernetes) and leveraged AWS services for scalability, monitoring, and resilience; built batch jobs for Oracle→Oracle data migrations. Tech stack: Java 8/11+, Spring, Angular 4, Node.js, Oracle, Kafka, Docker, Kubernetes, AWS, Git, Maven, Jenkins, SonarQube, HTML5/TypeScript, Postman, Swagger.

Au sein d’une équipe de 7 personnes, le contexte de la mission était : Le traitement d’images (Récupération d’images depuis des satellites afin d’identifier les nappes de pétrole, etc.) et la réalisation d’un widget permettant de gérer les traitements d’images suivantes : • Egalisation gaussian • Egalisation d’histogramme • Etirement d’histogramme… Ce widget avait nécessité l’utilisation de JAVA8, de servlet, TOMCAT et de page JSP. L’application GIT est l’outil nécessaire à l’intégration et la gestion de version. Environnement Technique :GIT, SERVLET, JAVA8, JSP, serveur TOMCAT