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About the Role

Investment Services is Morningstar’s internal product group focused on building and maintaining the platforms that power our global data operations. We enable data teams to collect, process, and deliver high-quality investment data at scale. We design and maintain internal tools and systems that support data collection, enable automation and AI-assisted workflows, improve analyst productivity, and ensure data quality, scalability, and system stability.

Responsibilities

Design, build, and improve CI/CD pipelines to accelerate software delivery while maintaining stability and security.
Provision, configure, and maintain cloud infrastructure on AWS using Infrastructure as Code tools.
Provide on-call technical triage and troubleshooting, driving incidents to resolution and conducting post-incident reviews.
Lead cross-team reliability initiatives, including disaster recovery planning, security compliance, and AWS resource optimization.
Deploy and manage containerized applications using Docker and AWS ECS/EKS, optimizing resource utilization and deployment strategies.
Drive automation and innovation for proactive monitoring, alerting, and continuous operational improvement.
Collaborate with software engineers and data engineers to embed SRE best practices into the development lifecycle.
Write scripts and tooling in Python, Bash, or other scripting languages to automate routine operational tasks and streamline deployments.
Document infrastructure architecture, deployment processes, and operational runbooks.
Collaborate with globally distributed teams for projects, knowledge transfer, and on-call rotation coverage.
Leverage AI-assisted development tools to accelerate engineering workflows and improve productivity.

Requirements

5+ years of experience in Site Reliability Engineering, DevOps, or cloud infrastructure roles supporting production systems.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Strong hands-on experience with AWS cloud services (EC2, S3, ECS/EKS, Lambda, RDS, VPC, IAM, Route 53, CloudWatch).
Proficiency with Infrastructure as Code tools such as Terraform, CDK, or CloudFormation.
Experience building and maintaining CI/CD pipelines using tools such as Jenkins, Harness, GitHub Actions, or similar platforms.
Strong working knowledge of Docker containers and container orchestration platforms.
Proficiency in scripting languages such as Python or Bash for automation and operational tooling.
Solid understanding of Linux/Unix system administration and networking fundamentals.
Experience with monitoring, logging, and alerting tools such as Splunk, New Relic, CloudWatch, or Datadog.
Knowledge of SRE principles, including SLIs/SLOs, error budgets, incident management, and post-incident review processes.
Experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code).
Excellent communication and collaboration skills, with the ability to work effectively across distributed teams and explain infrastructure decisions clearly.

Skills

AWS
Terraform
CDK
CloudFormation
Jenkins
Harness
GitHub Actions
Docker
AWS ECS
AWS EKS
Python
Bash
Linux/Unix system administration
Networking fundamentals
Splunk
New Relic
CloudWatch
Datadog
SRE principles
SLIs/SLOs
Error budgets
Incident management
Post-incident review processes
GitHub Copilot
Claude Code

Location

Toronto, ON

Work Type

Hybrid

Experience Level

5+ years

Education Level

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Salary/Compensations

$90,489.00-132,711.00

Benefits

12.5% Annual Incentive Target
Hybrid work environment
Tools and resources to engage meaningfully with global colleagues

About the Company

Investment Services is Morningstar’s internal product group focused on building and maintaining the platforms that power our global data operations.
We enable the Managed Investment Data (MID), Reference Entity Data (RED), Fixed Income, and Third Party Data, and Manager Research teams to collect, process, and deliver high-quality investment data at scale—supporting over 770,000 investments across thousands of global processes.
We design and maintain the internal tools and systems that support data collection for operational, performance, portfolio, and document data; enable automation and AI-assisted workflows; improve analyst productivity and experience; and ensure data quality, scalability, and system stability.
Our platforms are used by hundreds of analysts across the globe to process billions of data points every month.
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis.
In most of our locations, our hybrid work model is four days in-office 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.
100_MstarResCanad Morningstar Research, Inc. (Canada) Legal Entity