Software Engineer

About Us:  

Morningstar Inc. (USA) is a leading provider of independent investment research in North America, Europe, Australia, and Asia. we offer an extensive line of products and services for individual investors, financial advisors, asset managers, retirement plan providers and sponsors, and institutional investors in the debt and private capital markets.   

With more than 5,200 employees and operations in 27 countries, we provide data and research insights on a wide range of investment offerings, including managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. 

Morningstar India office has been certified as “Great Place to Work!” consecutively for the 4th year in 2020 and is in the “Top 25 Great Workplaces” in the India Banking and Financial Sector category of “Great Place to Work!” 

Our Team 
Morningstar believes in empowering investors through research, data, design, and technology. Morningstar Direct (https://www.morningstar.com/products/direct) is Morningstar’s flagship software product that helps Asset and Wealth Managers build and manage their portfolios and communicate with their clients. Our team is modernizing the core Direct product using web & desktop technologies, cloud-based infrastructure, and a refreshed product strategy. Our core offering is complemented by a variety of reporting, analytical, and artificial intelligence tools.  We aim to provide a first-class experience in accessing, analyzing, and reporting on Morningstar research and data. We are deeply inquisitive; we do not take “that’s just the way it’s always been done” or “that’s just best practice” as valid answers and instead seek to fine-tune our product development process for maximum impact. We are empowered professionals who are given problems to solve and not tickets to implement. We value team productivity over individual productivity and this culture of “giving” means we enjoy and highly value collaborating with our teammates. 
 
About the Role 
We are looking for a Software Engineer with strong full-stack development experience on modern cloud-based infrastructure. In this role, you will build and enhance products that empower our users, while bringing strong engineering discipline, curiosity, and new ideas to the team.

You will own technical delivery across design, development, testing, deployment, and ongoing improvement. You will help ensure quality through code reviews, test coverage, CI/CD practices, and governance standards.

You will also act as a software guardian, owning non-functional requirements such as performance, reliability, scalability, security, maintainability, and code quality, while actively reducing technical debt.

You will work closely with engineers, product managers, QA, and UX partners to understand the domain and deliver practical, high-quality solutions for our clients, including opportunities to apply AI-assisted development and agentic AI workflows where relevant. 

 

Job Responsibilities

 

• Build stable, scalable, and maintainable features and solutions for Morningstar Direct.
• Own technical delivery from design and development to testing, deployment, and production support.
• Ensure engineering quality through design reviews, code reviews, unit testing, QA automation, and deployment governance.
• Design and maintain automated tests across UI, API, integration, and regression scenarios.
• Improve test coverage, reliability, and automation efficiency within the development lifecycle.
• Mentor engineers and help strengthen team practices around code quality, testing, and delivery.
• Manage development work across planning, estimation, implementation, validation, and release.
• Promote good engineering practices including scalable architecture, modular design, secure coding, and automated testing.
• Apply DevOps and CI/CD practices for reliable, repeatable deployments.
• Troubleshoot production issues and improve observability, instrumentation, and operational readiness.
• Collaborate with product, QA, UX, and business partners to deliver effective solutions for investors.
• Use AI-assisted development and agentic AI workflows responsibly to improve productivity, quality, and engineering outcomes.
• Continuously identify opportunities to improve quality, process, software engineering, and automation practices.

Qualifications 

• Bachelor’s degree in computer science, Engineering, or equivalent practical experience.
• Minimum 2 years of hands-on experience building modern, reactive Single-Page Web Applications
• Hands-on experience with Java as backend
• Strong development experience with JavaScript/TypeScript application frameworks such as Vue, Nuxt, React, or similar.
• Experience designing, developing, and maintaining production-quality frontend features, reusable components, and client-side application logic.
• Good understanding of software engineering fundamentals including data structures, algorithms, design patterns, code quality, debugging, and maintainability.
• Working experience with automated testing practices, including unit, integration, API, and end-to-end testing.
• Hands-on exposure to JavaScript/TypeScript testing tools such as Playwright
• Ability to contribute to test automation frameworks and improve regression coverage as part of the development lifecycle.
• Working knowledge of Python for building backend services, automation scripts, AI integrations, or agentic AI workflows.
• Experience with several of the following:
  • JavaScript application frameworks like Nuxt and Vue
  • Infrastructure as Code tools like CloudFormation and Terraform
  • CI/CD tools like Harness, GitHub Actions, or similar
  • Building, testing, and deploying containerized applications using Docker or Kubernetes
  • API development or integration using REST/GraphQL services
• Working knowledge of AI-assisted software development practices, including responsible use of tools such as GitHub Copilot, ChatGPT, Claude, or similar coding assistants.
• Basic understanding of AI-enabled application testing concepts such as prompt validation, response quality checks, test data generation, hallucination detection, and regression testing for AI features.
• Ability to troubleshoot issues across frontend, backend, APIs, CI/CD pipelines, and cloud environments, and communicate root cause clearly.

Morningstar is an equal opportunity employer.

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.

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