Team & Context:
At Murex, Software Engineers design, develop and maintain the technologies that power the MX.3 platform, used by financial institutions worldwide.
Our Java engineers work on technical components and services at the core of the platform. Their projects cover areas such as application development, distributed systems, performance optimization, data processing, software architecture, observability, continuous integration and developer tooling.
Joining this internship means becoming part of a community of experienced engineers working on challenging software development topics. You will contribute to a concrete technical project while gaining hands-on experience with the architecture and development of a large-scale financial software platform.
Your missions / What you’ll do?
Following an onboarding program covering software engineering practices and the MX.3 platform, you will contribute to a project with direct technical impact. Depending on your assignment, you may:
Design, develop and test software components and services in Java;
Analyze existing code, execution flows and technical architectures;
Improve the performance, robustness, reliability and maintainability of existing solutions;
Contribute to the development of data-processing, workflow or real-time applications;
Work on distributed systems, service orchestration and platform components;
Enhance monitoring, diagnostics and operational tooling;
Contribute to testing, continuous integration and deployment practices;
Explore the use of AI and Machine Learning in software engineering use cases;
Collaborate closely with software engineers, architects and product experts;
Document your approach and present your findings and solutions to technical stakeholders.
A glimpse of the topics you could work on:
Our interns contribute to a variety of technical initiatives across the Software Engineering perimeter.
The topics you could work on include:
The validation and optimization of logical query plans, including rule-based approaches and the exploration of Machine Learning techniques;
Performance engineering, profiling and optimization of Java services;
The design and evolution of workflow dependency and business-process management tools;
Monitoring and administration capabilities for real-time applications;
The development of backend services, REST APIs and modern web-based operational tools;
The evaluation of technologies supporting cluster management, leader election and distributed systems;
The modernization and optimization of CI/CD pipelines, including testing, containerization, monitoring and deployment practices;
Software architecture, developer experience, documentation-as-code and AI-assisted engineering initiatives;
Improvements to software quality, reliability, maintainability and developer experience.
Each internship assignment is built around a real technical challenge and provides hands-on exposure to software engineering within the capital markets technology industry.
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