Senior Software Engineer
2 weeks ago
You will be working with product managers and technology engineering leaders to design and build a platform that helps users create and deploy their models/calculation engines at scale. Our goal is to provide a platform and framework that makes the data scientists lives easier by providing self-service features that allow them to focus on their code, and our systems will handle the rest. You will be exposed to all aspects of product development: API/library/CLI development, system architecture, productionizing models, code reviews, automated testing, automated infrastructure, systems monitoring, design of user experience and support.
This role is based in Chicago, and we follow a hybrid policy of a minimum of 3 days onsite.
Job Responsibilities:
- Work closely with PMs and other engineers to lead the development of our systems and services.
- Help build maintainable robust systems that can scale nearly infinitely.
- Help architect and troubleshoot our systems to ensure stable and reliable operation even under high volume.
- Help improve the overall skill level of the team with a good understanding of software engineering best practices.
- 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 and test driven code.
- Knowledge of networking fundamentals (TCP/IP, application protocols, security)
- Experience with Linux.
- Knowledge of computer science fundamentals: data structures, algorithms, design patterns.
- Experience building and/or using RESTful APIs.
- Experience with engineer practices such as writing design documents and performing code reviews.
- Additional experience with engineer practices such as pair programming and participating in Scrum/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.
- Experience with Spark, EMR, Athena, Glue
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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