As a Senior Software Engineer on the Core Analytics Platform team, you will help in leading the design and development of our Platform as a Service (PaaS) called Starflow. You will drive the full life cycle of software development, from feature and archicture design, to coding, testing, peer reviews, and CI/CD. This is all happening on an exciting tech stack of Python, AWS (services like EKS, EC2, Lambda, RDS, S3, ECR, IAM), Kubernets, Docker, PostgreSQL, and RabbitMQ. Our product Starflow is designed with our users in mind, so a key part of this role will be working closely with our Product Manager and our customers (data scientists, quants, machine learners, etc) to craft a self service platform that makes model/calculation development quicker and easier. Our goal is to help other teams speed up their decision making and time to market. The team follows the Kanban Agile process which allows engineers to have more say on tickets they want to work on, focus on their work and delivering quality code, and remove meaningless scrum delivery dates.
This role is based in our Toronto Office.
Job Responsibilities
- Design, develop and review new features, system improvements, and infrastructure.
- Collaborate with product managers, tech leads, and your fellow engineers to build a maintainable and robust system.
- Participate in architectural decisions, design discussions, and provide inputs on software development methodologies, processes, and best practices.
- Guide junior engineers on the team, providing knowledge sharing and feedback on their code and designs.
- Help architect and support our systems.
Qualifications
- Friendly and enjoys working in a collaborative team with excellent spoken and written communication skills. Humble, honest, and to the point.
- Bachelor of Science in Computer Science, Engineering, or equivalent experience.
- Deep experience with at least one modern object-oriented programming language. Python is a plus, but deep experience in any language (e.g. Java, C#) will do.
- Knowledge of computer science fundamentals: data structures, algorithms, design patterns.
- Hard working, ambitious, inquisitive, problem solver.
- Writing understandable maintainable code.
- Knowledge of networking fundamentals (TCP/IP, application protocols, security).
- Experience building/using RESTful APIs.
Nice to have
- Experience with engineering practices such as writing design documents, pair programming, participating in Kanban workflows.
- Experience with AWS, Docker, Kubernetes.
- Experience with infrastructure as code tools. Terraform is a plus, but any tools in this area such as CloudFormation, Ansible, Chef, or Puppet.
Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
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What the Team is Saying
Morningstar Compensation & Benefits Highlights
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Leave & Time Off Breadth — Time-off policies include flexible PTO and a paid sabbatical every four years, often highlighted as a standout perk. Feedback suggests this structure supports strong work–life balance and meaningful breaks.
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Parental & Family Support — Policies advertise a global minimum of 16 weeks for primary caregivers, up to 8 weeks for secondary caregivers, and at least six weeks of paid caregiving leave. These offerings signal above-average support for family and caregiving needs.
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Retirement Support — Retirement programs feature employer 401(k) contributions/matching, with some postings citing a 75% match on up to 7% of pay. Feedback suggests these offerings are a strong pillar of the package.
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What We Do
We are a global investment research and financial data company with 40-plus offices across North America, Europe, Australia, and Asia. Our products and services are used daily by individual investors, financial advisors, asset managers, retirement plan providers, and institutional investors. We provide data, research, and analysis across managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. The financial system can have real barriers—hidden information, friction that can slow decisions, and forces that can limit transparency and access. We work to remove them, bringing independent research, connected data, and investor-first tools to a system that needs more clarity. The people doing this work span research, technology, design, product, sales, and functional areas. We build many of our products in-house, so the work can connect directly to the tools investors use to make real financial decisions.
Why Work With Us
Morningstar’s missing is to empower investor success. We can only do that if our people feel empowered. That means finding people who think independently, bring a wide range of backgrounds with analytical rigor and genuine intellectual curiosity to the work.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Across most of our offices globally, employees work four days a week in the office and one day from home. We recognize that life doesn't always fit a fixed schedule and offer programs that can help provided increased workplace flexibility.
