Morningstar Inc.

Morningstar Inc.

Senior Site Reliability Engineer

Toronto · Senior

Sponsorship not specified$90k-$133kDetected 80 days ago
PythonBashGitAWSCloud PlatformsDockerTerraformCI/CDGitHub ActionsJenkinsLinuxDevOpsSite Reliability EngineeringCybersecurityResearchCommunicationCollaboration

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odds of building a lasting career here

50Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

Morningstar, Inc. obtained a prevailing wage determination for Software Developers in Chicago, ILLINOIS on 2026-06-10. No matching green-card filing appears in our data yet. The determination expires in 1 day (2026-09-07), and a green-card filing must follow before then or the employer starts over.

DOL often reclassifies their job titles

The Department of Labor assigned a different occupation than this employer requested on 67% of its 12 wage determinations — against a 18% norm. The occupation sets the prevailing wage floor.Reclassification is routine and can reflect genuinely hybrid roles; it is not by itself evidence of underpayment.

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Our platforms are used by hundreds of analysts across the globe to process billions of data points every month.

Responsibilities

  • 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.
  • 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.
  • Document infrastructure architecture, deployment processes, and operational runbooks to enable transparency, consistency, and long-term maintainability.
  • 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.

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.
  • Strong working knowledge of Docker containers and container orchestration platforms.
  • Proficiency in scripting languages such as Python or Bash for automation and operational tooling.
  • 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.

Compensation

  • Compensation Range
  • $90,489.00-132,711.00 Incentive Target Percentage

Benefits

  • Collaborate with globally distributed teams for projects, knowledge transfer, and on-call rotation coverage.
  • A range of other benefits are also available to enhance flexibility as needs change.

Company info

  • 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.
  • Toronto, ON (4 days onsite)
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This listing is sourced directly from Morningstar Inc.'s careers page and normalized into a canonical job model.