The Role
Lead SRE work to design and improve CI/CD pipelines, provision and maintain AWS infrastructure with IaC, manage containerized deployments, provide on-call incident triage and post-incident reviews, drive reliability initiatives (DR, security, cost optimization), implement monitoring/alerting, script automation with Python/Bash, and collaborate with global teams to embed SRE practices.
Summary Generated by Built In
About the Team
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.
Location: Toronto, ON (4 days onsite)
What You'll Do
What We're Looking For
Nice to have
Base Salary Compensation Range
$90,489.00-132,711.00
Incentive Target Percentage
12.5% Annual
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
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.
Location: Toronto, ON (4 days onsite)
What You'll Do
- Design, build, and improve CI/CD pipelines to accelerate software delivery while maintaining stability and security across our platform.
- Provision, configure, and maintain cloud infrastructure on AWS using Infrastructure as Code tools such as Terraform, CDK, or CloudFormation.
- Provide on-call technical triage and troubleshooting, driving incidents to resolution and conducting thorough 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 engineers 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 to enable 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.
What We're Looking For
- 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
Nice to have
- 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.
Base Salary Compensation Range
$90,489.00-132,711.00
Incentive Target Percentage
12.5% Annual
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
Skills Required
- 5+ years of experience in Site Reliability Engineering, DevOps, or cloud infrastructure supporting production systems
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
- Strong hands-on experience with AWS 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 Jenkins, Harness, GitHub Actions, or similar
- Strong working knowledge of Docker containers and container orchestration platforms (ECS/EKS)
- 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 for distributed teams and on-call rotation
- AWS certifications (Solutions Architect, DevOps Engineer, SysOps) or similar
- Experience designing or supporting disaster recovery and business continuity strategies
- Familiarity with security compliance frameworks and implementing cloud security best practices
- 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
What the Team is Saying
Anna
Team Lead of Software Engineering
Upasna
Software Engineer, Data Collections - AI R&D
Saurabh
Senior Software Engineer
Wendell
Head of Sales, Institutional Equity Research
Raaghavendar
Associate Software Engineer
Jeff
Head of Technology and Product
Morningstar Compensation & Benefits Highlights
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Leave & Time Off Breadth — A recurring paid sabbatical combined with flexible time off in North America and regionally set PTO provides substantial time-away flexibility. Paid volunteer days further broaden the time-off offering.
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Parental & Family Support — A global minimum of paid parental leave for primary and secondary caregivers, along with paid caregiving leave, signals strong family support. Adoption-assistance reimbursement adds another layer of care for growing families.
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Retirement Support — Retirement programs include employer matching or fixed contributions and free access to Morningstar retirement-planning tools. These elements support long-term savings alongside the broader total-rewards package.
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The Company
What We Do
At Morningstar, we believe in building great products in-house in a highly collaborative, agile environment where we focus on technical excellence, the user experience, and continuous improvement. Our technologists represent a range of skills and experience levels, but they all view their work as a craft and push technology’s boundaries.
Why Work With Us
Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!
Gallery
Morningstar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
