Software Engineer
Summary
Python engineer building data processing, workflow, and analytical tools for investment research, data modelling, and portfolio construction on a cloud-native AWS stack (AppSync, Lambda, DynamoDB). Day to day involves writing clean Python, developing serverless solutions, and coaching junior engineers within a global team.
As a Python Software Engineer in Investment Technology, you build data processing, workflow, and analytical tools that support investment research, data modelling, and portfolio construction. You work within a global team delivering fast, reliable software with tangible impact on the investment business. You’ll contribute to a cloud-native stack on AWS, collaborating with cross-functional partners to refine products and mentor teammates. This role offers hands-on engineering, architectural impact, and opportunities to drive positive technology change.
Responsibilities- Write clean Python code to create reusable components and packages
- Develop cloud-first solutions with AWS
- Refine and evolve the platform in response to business needs
- Collaborate with business users to produce maintainable Python solutions
- Coach and develop junior engineers to promote best practices
- 3+ years of Python software development in an enterprise environment
- Experience with cloud and serverless services (AWS AppSync, Lambda, DynamoDB)
- Experience building software solutions in Financial Services
- Experience with SQL and NoSQL databases
- Strong knowledge of Python standard libraries and popular third-party packages
- Understanding of data structures and data transformation methods
- Experience with Agile (Scrum), DevSecOps, CI/CD, and Git/GitHub
- Ability to engage credibly with business and technical users at all levels
- problem solving
- business-facing communication
- team collaboration
- Python programming
- AWS cloud services (AppSync, Lambda, DynamoDB)
- SQL and NoSQL databases