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About the Role

Investment Services is Morningstar’s internal product group, focused on building and maintaining platforms for global data operations. The team enables Managed Investment Data, Reference Entity Data, Fixed Income, 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. The role involves designing and maintaining internal tools and systems for data collection, enabling automation and AI-assisted workflows, improving analyst productivity, and ensuring data quality, scalability, and system stability. These platforms are used by hundreds of analysts globally to process billions of data points monthly.

Responsibilities

Design, build, and improve CI/CD pipelines to accelerate software delivery while maintaining platform stability and security.
Provision, configure, and maintain cloud infrastructure on AWS using Infrastructure as Code tools like Terraform, CDK, or CloudFormation.
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 using tools such as Splunk, CloudWatch, New Relic, and Harness.
Collaborate with software and data engineers to embed SRE best practices into the development lifecycle, including SLOs, error budgets, and capacity planning.
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 for transparency, consistency, and long-term maintainability.
Collaborate with globally distributed teams for projects, knowledge transfer, and on-call rotation coverage.
Leverage AI-assisted development tools (e.g., GitHub Copilot, Claude Code) 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.
AWS certifications (e.g., Solutions Architect, DevOps Engineer, SysOps Administrator).
Experience designing or supporting disaster recovery and business continuity strategies.
Familiarity with security compliance frameworks and implementing security best practices in cloud environments.
Experience with serverless architectures using AWS Lambda, SAM, or the Serverless Framework.
Experience supporting distributed engineering teams across multiple time zones.
Exposure to data pipeline infrastructure or platforms used for large-scale data processing.
FinOps certification or experience with cloud financial management and cost optimization practices.

Skills

CI/CD pipeline design and improvement
Cloud infrastructure provisioning and maintenance
AWS cloud services (EC2, S3, ECS/EKS, Lambda, RDS, VPC, IAM, Route 53, CloudWatch)
Infrastructure as Code (Terraform, CDK, CloudFormation)
Technical triage and troubleshooting
Disaster recovery planning
Security compliance
AWS resource optimization
Containerized application deployment (Docker, AWS ECS/EKS)
Automation and innovation
Monitoring, alerting, and operational improvement (Splunk, CloudWatch, New Relic, Harness, Datadog)
SRE best practices (SLOs, error budgets, capacity planning, incident management, post-incident review processes)
Scripting (Python, Bash)
Infrastructure architecture documentation
AI-assisted development tools (GitHub Copilot, Claude Code)
Linux/Unix system administration
Networking fundamentals
Communication and collaboration
Serverless architectures (AWS Lambda, SAM, Serverless Framework)
Data pipeline infrastructure
Cloud financial management and cost optimization (FinOps)

Location

Toronto, ON

Work Type

Hybrid
4 days onsite

Experience Level

5+ years of experience

Education Level

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
AWS certifications (e.g., Solutions Architect, DevOps Engineer, SysOps Administrator)
FinOps certification

Salary/Compensations

Base Salary: $90,489.00-132,711.00
Incentive Target Percentage: 12.5% Annual

Benefits

A range of other benefits are available to enhance flexibility as needs change.

About the Company

Morningstar Research, Inc. (Canada) Legal Entity
Morningstar offers a hybrid work environment, with a model of four days in-office each week to foster collaboration.

Equal Opportunity

Morningstar is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call +1 312 384-3900 or email AskHR@morningstar.com and let us know the nature of your request and your contact information.
Morningstar is strongly committed to creating and preserving equal opportunity for all employees and applicants. We make all employment decisions—including recruitment, hiring, compensation, training, promotion, transfer, discipline, termination, and other personnel matters—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.