Principal Software Engineer

Tasks

The role of Principal Software Engineer includes the following tasks:

• Technical leadership and architecture: Taking technical responsibility, communicating risks and dependencies
• Development of scalable solutions with Python, Azure services, and SQL-based data platforms
• Definition and enforcement of coding standards, architectural best practices, and development workflows
• Modernization of architectural patterns, including API-driven microservices and event-driven (pub/sub) systems
• Partnering with partners and contractors to deliver solutions and improve productivity

AI Tools Enablement (Developer Productivity and Governance)

The role also includes promoting the adoption of AI-supported development capabilities, such as:

• Championing the adoption of GitHub Copilot as an AI-powered development capability
• Setup and maintenance of Copilot instruction files and reusable agents
• Definition and scaling of an "agentic SDLC" approach, in which AI assistants support the entire lifecycle
• Partner with DevOps/platform teams to achieve measurable results from AI-powered delivery
• Promoting responsible and safe AI usage patterns

Further tasks

Additional responsibilities include:

• Development of data-driven backend services with Python tooling
• Automation of CICD pipelines and deployment best practices
• Establishment of robust testing and quality standards
• Leadership in troubleshooting complex production problems and performing root cause analyses

Collaboration, influence, and mentoring

The role also includes:

• Partnering with cross-functional teams to deliver coherent solutions
• Mentoring and coaching engineers at various levels
• Communication of complex technical concepts to non-technical stakeholders
• Influence on architectural decisions

Requirements

The ideal candidate will have:

• Deep hands-on expertise in Python (PySpark/PyTorch/AI/ML), Bleak, strong SQL and data modeling skills
• Experience with deployment on Microsoft Azure
• Demonstrable ability to operationalize AI-driven applications

Domain knowledge (highly desirable)

Desired knowledge includes:

• Experience with solutions and integrations with Aladdin portfolio optimizer, risk models, and development of optimization constraints for fixed-income portfolio construction
• Understanding of asset management investments, asset classes, portfolio theory, and investment restrictions
• Experience with Aladdin Enterprise/Charles River (OMS), Bloomberg AIM, or other portfolio and order management systems
• Experience with financial data providers (e.g., Bloomberg, FactSet, MSCI) and APIs

We offer

We offer:

• A flexible