Senior Python Engineer / Technical Lead




Role Overview

Join an established, high-growth financial technology firm that provides a cutting-edge, open-architecture communications network for global wealth management firms and private banking institutions. We connect the world's premier financial entities with key market issuers.



In this role, you will collaborate with a versatile, multi-disciplinary team. This position bridges the gap between sophisticated software engineering and deep financial logic, offering a unique opportunity to master complex financial ecosystems.




Technical & Professional Skills 

• Python Expertise: Advanced proficiency in core Python libraries and modern frameworks (such as FastAPI, Django, Pandas, or Polars).


• Data Modeling: Proficiency in defining and optimizing diverse data schemas, including relational databases and JSON formatting.


• Infrastructure & Integration: Deep understanding of standard IT infrastructure concepts, including microservices architecture, Kubernetes container orchestration, and HTTP/REST communication protocols.


• Process Mastery: Complete familiarity with the Software Development Life Cycle (SDLC), testing frameworks, and continuous integration frameworks.


• Professional Attributes: Natural leadership qualities, meticulous attention to detail, robust analytical capabilities, and excellent English communication skills (both verbal and written).


• AI Familiarity: Practical awareness or exposure to foundational Artificial Intelligence architectures, Machine Learning principles, or Large Language Models (LLMs).

• Professional Experience: A minimum of 7+ years of dedicated engineering experience centered around Python backend development.


• Enterprise Delivery: A proven history of architecting, scaling, and maintaining large-scale corporate software systems.


• Educational Background: A Bachelor’s or Master’s degree, ideally specializing in Computer Science, Software Engineering, or a related technical field.

• Feature Ownership: Take full technical accountability for core Python-based engines, including automated lifecycle event processing, order booking components, and analytical reporting tools.


• System Architecture: Design, build, and deploy enterprise-grade software systems following strict engineering standards.


• Domain Adaptation: Dedicate time to understanding the functional business logic of the platform, as this role requires deep alignment with the business rather than isolated coding.


• Product Collaboration: Partner with product management teams to conceptualize, design, and launch novel platform capabilities and services.


• Quality Assurance: Guarantee that all completed deliverables strictly satisfy predefined technical acceptance criteria.


• Agile & DevOps Operations: Function efficiently within an automated DevOps framework utilizing modern agile software development methodologies.

• Financial Acumen: Prior familiarity with capital markets, derivative instruments, or trading transaction workflows is a strong advantage. (We will fully consider and train exceptional candidates with zero prior financial sector experience who demonstrate a strong eagerness to learn).