Social network you want to login/join with:
Senior Software Engineer (Fin-Crime), London
col-narrow-left
Client:
Ebury
Location:
London, United Kingdom
Job Category:
Other
-
EU work permit required:
Yes
col-narrow-right
Job Reference:
3250b9a9726d
Job Views:
14
Posted:
12.08.2025
Expiry Date:
26.09.2025
col-wide
Job Description:
Ebury is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions. Since our founding in , we’ve grown to a diverse team of over 1, professionals across 40+ offices and 29+ markets worldwide. Joining Ebury means becoming part of a collaborative and innovative environment where your contributions are valued. You’ll play a key role in shaping the future of cross-border finance, while advancing your own career in a dynamic, high-growth industry.
Senior Software Engineer (Fin Crime)
London Office - Hybrid: 4 days in the office, 1 day working from home
The Financial Crime Technology team is seeking an experienced and passionate Senior Software Engineer to play a crucial part in developing our next-generation, AI-powered platform designed to transform financial crime investigation. You will have a unique opportunity to build intelligent tools from the ground up while also supporting the existing systems that are critical to our business operations. We are looking for an engineer who thrives on tackling complex problems and is excited by the prospect of working at the intersection of AI, finance, and software engineering. You'll be a key contributor to a distributed team, helping us deliver the best possible experience for our analysts and protect our financial ecosystem.
Responsibilities:
- Contribute to the architecture and development of our new AI-powered services, utilizing Microservices and Domain-Driven Design (DDD) principles.
- Take ownership of existing, business-critical systems, ensuring their stability while proactively identifying opportunities for improvement, refactoring, and automation.
- Design, build, and maintain robust Python backend services using frameworks like FastAPI and Django.
- Develop and enhance the user-facing React application with TypeScript, focusing on building intuitive and responsive real-time interfaces for interacting with AI agents.
- Integrate and fine-tune large language models (LLMs) and other generative AI technologies to perform complex research, reasoning, and summarization tasks.
- Contribute to our CI/CD pipelines, utilizing GitHub Actions and Terraform for new services while supporting existing Jenkins pipelines.
- Embrace our "You build it, you own it" philosophy by taking full ownership of the products you create, from initial design and development to ongoing maintenance and support.
- Coach and mentor other engineers on the team, helping to foster a culture of technical excellence.
About You:
- You have extensive experience in developing complex, scalable software systems. While our primary language is Python, we value strong object-oriented programming fundamentals.
- You have strong hands-on experience with modern frontend development, particularly React and TypeScript, with a deep understanding of hooks and state management.
- You have significant experience building and deploying applications on cloud platforms, especially AWS.
- You are adept at building distributed systems and have hands-on experience with asynchronous communication patterns using technologies like AWS SNS/SQS, Kafka, or similar messaging queues.
- You are not afraid of legacy code. You see the challenge of keeping existing systems running and making incremental improvements as a core part of engineering.
- Quality is central to your work. You write clean, maintainable, and testable code, with a strong belief in the importance of unit and integration tests.
- You have a strong ability to communicate ideas clearly and concisely in English, essential for collaborating with our distributed team.
Nice to Have:
- Hands-on experience with Generative AI concepts like Retrieval-Augmented Generation (RAG), stateful agents, and prompt engineering.
- Experience with AI frameworks like LangChain/LangGraph or similar.
- Familiarity with vector databases and embedding models.
- Experience in the FinTech or RegTech (Regulatory Technology) domains.