 
						Junior Full Stack Software Engineer
il y a 2 semaines
Murex is a global fintech leader in trading, risk management and processing solutions for capital markets.
Operating from our 19 offices, 3 000 Murexians from over 60 different nationalities ensure the development, implementation and support of our platform which is used by banks, asset managers, corporations and utilities, across the world.
Join Murex and work on the challenges of an industry at the forefront of innovation and thrive in a people-centric environment.
You'll be part of one global team where you can learn fast and stay true to yourself.
Your Mission
As a Full Stack Developer, you will design and build the web experience for our AI-powered solution. Your primary focus will be on full-stack web development, while also contributing to data workflows and ETL processes that support our intelligent systems.
What you'll do
- Develop full-stack web applications using .NET Core (backend) and Angular (frontend) within a microservices architecture.
- Build secure, scalable APIs with proper authentication and Role-Based Access Control (RBAC).
- Design and implement responsive, user-friendly UIs for chatbot and AI-driven workflows.
- Develop ETL pipelines and data processing tools using Python for integrating structured and unstructured data sources
- Work with databases such as PostgreSQL, MongoDB, and caching solutions like Redis.
- Collaborate with cross-functional teams (designers, backend engineers, and AI specialists) to deliver high-quality features.
- Write clean, maintainable code following SOLID principles and best practices.
Your Profile
- Bachelor's degree in Computer Science, Engineering, or related field.
- 1–3 years of experience in full-stack development with .NET Core and Angular.
- Experience in building and deploying production-grade applications.
- Proficiency in Python
- Solid understanding of microservices architecture, Domain-Driven Design (DDD), and SOLID principles.
- Strong communication skills in spoken and written English.
- Ability to work in a collaborative, fast-moving team environment.
Extra Qualifications
- Experience with Docker & Kubernetes for containerized application deployment.
- Practical knowledge of Agentic AI frameworks (Llamaindex, Langchain), or other orchestration tools
- Understanding of RAG pipelines, prompt engineering, and knowledge augmentation techniques.
- Exposure to Apache Airflow or other ETL tools.
- Background in MLOps practices for CI/CD of AI models.
Why Join Us
- Work on cutting-edge AI-powered solutions that impact real-world applications.
- Gain exposure to modern architectures (microservices, distributed systems, ETL pipelines).
- Career growth opportunities with mentorship and training in AI integration.
- A collaborative, innovative environment where your ideas matter.
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