Senior Python Engineer / Technical Lead

Gravitas Recruitment Group Hong Kong; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Gravitas Recruitment Group Hong Kong is seeking a Senior Python Engineer / Technical Lead to lead backend engineering in a fast-growing fintech environment. You will own core Python services, shape architecture, and partner with product teams to deliver scalable enterprise software.

The ideal candidate has 7+ years of Python experience, strong data modeling skills, and a track record of delivering robust systems within SDLC, CI/CD, and DevOps frameworks. Excellent English communication required.

Qualifications

• 7+ years of Python backend development.
• Experience architecting, scaling, and maintaining large-scale corporate software systems.
• Bachelor’s or Master’s degree in CS/Software Engineering or related field.

Responsibilities

• Own core Python-based engines and automated lifecycle processes.
• Design, build, and deploy enterprise-grade software systems.
• Understand business logic and align technical solutions accordingly.
• Collaborate with product management to design and launch platform capabilities.
• Ensure deliverables meet predefined technical criteria.
• Operate within an automated DevOps and Agile framework.

Skills

Python backend

Data modeling

Microservices & Kubernetes

SDLC & CI/CD

Leadership & communication

AI / ML awareness

Education

Bachelor’s or Master’s in CS/Software Engineering

Job description

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).

Required Qualifications & Experience

• 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.

Core Responsibilities

• 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.

Nice-to-Have

• 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).