Senior Software Engineer

About the Role
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 of our Toronto office. We follow a hybrid policy of 3 days onsite and 2 days remote work.

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.