Morningstar Wealth is seeking a Principal Software Engineer to lead the development and maintenance of their model creation and data delivery systems, aiming to advance how Wealth builds, manages, and delivers models and data pipelines that power their products and services.
Requirements
- Strong background in .NET (preferred) or other MVC frameworks for building scalable services and APIs.
- Proven experience with AWS services (compute, storage, data, AI/ML services).
- Hands-on expertise with CI/CD and Infrastructure as Code (AWS CodePipeline, Terraform, Harness, or similar)
- Strong DevOps practices and automation skills.
- Experience with databases (RDS, NoSQL) and data delivery systems.
- Experience integrating AI/ML models into production workflows.
- Proficiency in Python for data and model engineering (best practices and libraries).
Responsibilities
- Design, develop, and enhance systems that support the creation, publication, and management of models, as well as the delivery of data to downstream applications.
- Maintain, upgrade, and migrate existing applications and services, ensuring stability, scalability, and efficiency.
- Define and evolve the architecture for model creation and data delivery workflows, ensuring seamless integration with Morningstar’s broader product ecosystem.
- Drive improvements in system performance, data quality, and delivery speed, while enforcing best practices for scalability and resiliency.
- Provide hands-on expertise in software development and data engineering, mentoring junior engineers and harmonizing engineering practices across teams.
- Provide technical oversight for projects, ensuring architecture and delivery align with business goals.
- Stay up to date on emerging technologies in data, AI, and model engineering, and introduce practices that accelerate delivery.
Other
- 10+ years in professional software development, with significant experience in data-intensive systems.
- Strong understanding of Agile/Scrum and modern software engineering practices.
- Demonstrated ability to guide technical teams, resolve architectural challenges, and manage complex projects.
- Expertise in securing applications, data pipelines, and APIs against common vulnerabilities.
- Bachelor’s degree in Computer Science or related field required; advanced degree strongly preferred.
