Principal Software Engineer

Overview

As a Principal Software Engineer in Public Markets Technology, you will help build an AI-enabled investment platform by delivering scalable Python solutions on a cloud-first stack. You’ll collaborate with portfolio managers, data specialists, and engineers to translate investment challenges into robust technology. The role emphasizes modern engineering practices, AI-assisted development, and product-oriented delivery to support investment decisions. You’ll mentor teammates and contribute to a culture of clean code, testability, and continuous improvement.

Pay / Benefits

• flexible working arrangements
• inclusive culture
• equal opportunities employer
• support for neurodiversity and health needs
• opportunities for professional development
• global collaboration

Responsibilities

• Write reusable Python components and packages
• Develop cloud-native solutions on AWS
• Refine and extend the platform in response to business needs
• Collaborate with business users to co-create maintainable Python code
• Coach and mentor junior team members to uphold best practices

Key requirements

• Strong Python development experience in a professional environment
• Solid knowledge of Python standard libraries and popular third-party packages
• Experience designing large-scale analytics workflows (ETL, orchestration, distributed compute) with Pandas, Polars, and Dask
• Experience with SQL and NoSQL databases, and OLAP/OLTP concepts
• Understanding of data structures and data transformation methodologies
• Experience embedding agentic development tools into engineering practices and setting standards
• Ability to own end-to-end delivery in an Agile, DevSecOps environment (Scrum, Git, CI/CD)
• Ability to communicate effectively with business and technical stakeholders
• Linux proficiency
• Experience with Docker
• Cloud experience (AWS or Azure)
• Financial Services software development experience
• Proven track record of driving improvement initiatives (CI/CD, agentic workflows, testing methodologies)

• Business-facing mindset
• Problem-solving under pressure
• Strong collaboration and communication
• Python
• AWS
• Pandas

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