About the Role
As a senior software engineer in the Core Analytics Platform, you will be working in a cross-functional team, collaborating with teammates in Toronto, Chicago, New York, and Mumbai. As senior member of the team, you will be working closely with product managers and other engineering leads to work closely with the quantitative analysts (aka data scientists) and calculation engine developers and help them by building a platform to allow them to collaboratively build then easily deploy and operationalize their models/engines. You will be exposed to all aspects of product development: design of user experience, system architecture, model development, productionizing models, API/library/CLI development, data visualization tools, code reviews, automated testing, automated infrastructure, systems monitoring, and support.
Job Responsibilities
- Work closely with PMs and other engineers to lead the development of our systems and services.
- Help the engineers collaboratively build a maintainable robust systems.
- Help architect and troubleshoot our systems.
- Mentor junior engineers.
Qualifications
- Friendly and enjoys working in a collaborative team with excellent spoken and written communication skills. Humble, honest, and to the point.
- Hard working, ambitious, inquisitive, problem solver.
- Deep experience with at least one programming language. If this deep knowledge is in Python, that is a plus, but deep experience in any language (e.g. Java, C#) will do.
- Writing understandable maintainable code.
- Knowledge of networking fundamentals (TCP/IP, application protocols, security)
- Experience with Linux.
- Knowledge of computer science fundamentals: data structures, algorithms, design patterns.
Nice to have
- Experience with engineer practices such as writing design documents, performing code reviews, pair programming, participating in Scrum/Kanban workflows.
- Experience building/using RESTful APIs
- 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.
- Experience with Spark, EMR, Athena, Glue
Morningstar is an equal opportunity employer
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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