Unlock what's already in you
Morningstar Logo

Morningstar

Senior Manager of Software Engineering

Posted 5 Days Ago
Be an Early Applicant
Hybrid
Toronto, ON
Senior level
Hybrid
Toronto, ON
Senior level
Lead North American software engineering teams supporting retirement technology products. Responsibilities include hiring and developing engineers, establishing architecture and engineering standards, improving software delivery and operations, guiding AI-native engineering practices, and executing initiatives across multiple applications and teams. The role partners with Product Management on roadmaps, manages dependencies, removes blockers, and promotes quality, security, compliance, accessibility, ownership, and continuous improvement.
The summary above was generated by AI


Job Description

The Group:

Morningstar's mission is to create products that help investors achieve their financial goals. For the Retirement group, that means building products and solutions that help employers maximize the value of their workplace retirement plans and put individuals on the path to better retirement outcomes. Retirement is a high-growth area for Morningstar offering a diverse suite of technology and investment-based solutions. Our unique client base includes retirement plan providers, sponsors, advisors, consultants, and participants.


The Job Responsibilities:

Team Leadership

  • Lead the North America engineering teams supporting Morningstar Plan Advantage and Fiduciary Services.
  • Hire, coach, and develop technical leads and engineers while fostering a culture of ownership, accountability, and continuous learning.

Technical Leadership

  • Provide technical leadership by establishing clear ownership, decision-making practices, architecture and design review standards, and consistent engineering expectations while enabling technical leads and teams to operate independently and deliver predictably.
  • Continuously improve how engineering teams build and operate software by adopting modern development practices, automation, and operational excellence.

AI-Native Engineering

  • Lead teams through the shift from AI-assisted to agentic engineering — engineers set direction, build the context and guardrails agents work within, and verify outcomes rather than producing the implementation themselves.
  • Own the engineering environment that makes agent-authored work trustworthy: context, standards enforced through automated checks, and feedback that catches defects before human review. Accountability for what ships stays with engineers — AI-generated work doesn't reduce or transfer it.
  • Measure whether it's working — cycle time across the full delivery lifecycle rather than coding alone, rework rate on agent-authored work, and no compromise in quality, security, compliance, or accessibility.

Delivery & Cross-functional Execution

  • Own successful execution of initiatives that span multiple applications and engineering teams by driving alignment, managing dependencies, removing blockers, and maintaining delivery momentum.
  • Partner closely with Product Management to shape roadmaps, clarify priorities, and balance near-term needs with platform modernization.
  • Build strong working relationships across engineering and product organizations, encouraging direct communication, shared ownership, and collaborative problem solving.

The Qualifications:


  • 8+ years of software engineering experience, including 5+ years leading engineering teams with direct people management responsibility.
  • Strong technical depth in distributed systems, including service architecture, API design, data consistency, resiliency, and performance, with the ability to review designs and identify scalability and operational risks.
  • Hands-on proficiency with Java, Spring Boot, REST APIs, and cloud-native development on AWS, with enough front-end depth in modern component-based JavaScript/TypeScript frameworks to review full-stack designs end to end, and the ability to review architecture, designs, and code and provide technical guidance to engineering teams.
  • Demonstrated experience delivering complex initiatives spanning multiple engineering teams and applications, driving execution, managing dependencies, and resolving cross-team technical challenges.
  • Experience adopting AI-assisted engineering practices including coding agents, AI-assisted code reviews, testing, and documentation with the ability to establish appropriate guardrails, verification practices, and engineering standards while maintaining high standards for quality, security, and engineering judgment.
  • Working knowledge of modern software engineering practices, including CI/CD, automated testing, observability, SLOs, secure SDLC, and cloud-native operational practices.
  • Experience developing engineers and technical leads with a track record of growing individuals into broader technical and leadership responsibilities.
  • Demonstrated ability to build collaborative engineering teams and foster a culture of ownership, accountability, continuous improvement, and direct cross-functional communication.
  • Strong written and verbal communication skills, with the ability to influence technical decisions, navigate ambiguity, and build trusted partnerships across groups.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Total Cash Compensation (Base Plus Bonus Target) - 112,583 - 162,125 CAD. Incentive target: 20% 

If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.

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.

Similar Jobs at Morningstar

Yesterday
Hybrid
Entry level
Entry level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Build and scale production-grade GenAI services, including MCP Server, MCP Gateway, and AI Agent systems. Responsibilities include end-to-end feature ownership, architecture, implementation, deployment, monitoring, debugging, testing, documentation, and collaboration with product and design teams. The role emphasizes scalable and reliable software, AI-assisted development, security, guardrails, PII filtering, and continuous engineering improvement.
Top Skills: AWSAws BedrockAzureClaude CodeCopilot StudioGithub CopilotLangchainMcpPostgresPythonRest ApisVector Databases
5 Days Ago
Hybrid
Expert/Leader
Expert/Leader
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Lead architecture and implementation of a unified, cloud-native data feed platform. Design scalable ingestion, transformation, and delivery pipelines; establish DataOps, governance, monitoring, CI/CD, and performance best practices; mentor engineers and influence cross-team technical strategy.
Top Skills: AWSAws S3AzureAzure Blob StorageDatabricksDockerDuckdbGoogle Cloud PlatformGoogle Cloud StorageKubernetesPostgresPysparkPythonRedshiftSnowflakeSparkSQLSQL Server
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Owns global marketing automation platforms, data architecture, audience segmentation, reporting, analytics, governance, and martech strategy for the Credit business. Designs automation programs, lead scoring, lifecycle frameworks, integrations, attribution models, KPIs, and executive dashboards. Analyzes campaign and funnel performance to deliver actionable insights and recommendations. Requires strong platform administration, marketing data management, visualization, project management, and stakeholder communication skills.
Top Skills: HubspotLookerPardotPower BISalesforceTableau

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account