Role at a glance
- Job function
-
Software Engineering & IT Software Engineering
- Salary
- $89.6K – $131.4K/yr
- Location
- Chicago, United States
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- Two plus years of experience developing commercial quality applications.
- Education
- A bachelor's degree in computer science or related field.
- Visa support
- We’re not considering candidates who require sponsorship now or in the future.
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Role Summary
Morningstar is hiring a backend or platform-focused software engineer to build and evolve AI-enabled content management platform services for investor-focused products. The role works with product managers, business stakeholders, and technical teams to improve content workflows, discovery, automation, and distribution.
What You'll Do
- Build stable, secure, scalable content platform services and applications.
- Develop capabilities for content management, ingestion, workflows, search, and distribution.
- Design and implement RESTful APIs and backend services using .NET, Python, and AWS.
- Contribute to AI-enabled features including content tagging, metadata extraction, summarization, semantic search, and workflow automation.
- Integrate external AI/LLM services such as OpenAI and AWS Bedrock into platform capabilities.
- Partner with product managers and stakeholders to translate business needs into technical solutions.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Strong programming skills in C# and Python; working knowledge of Kafka, AWS SQS/Kinesis, SQL Server, and Postgres; experience with software engineering best practices, testing, CI/CD, domain modeling, object-oriented design, AWS compute technologies, Amazon Neptune, graph databases, Gremlin, Elasticsearch, and OpenSearch.
Required
- Strong programming skills in C# and Python
- Working knowledge of messaging technologies (Kafka, AWS SQS/Kinesis)
- Working knowledge of relational databases (SQL Server, Postgres)
- Experience with test-driven development, automated unit testing, functional testing, and CI/CD
- Knowledge and practical experience with domain modeling and object-oriented design patterns and principles, such as the SOLID principles
- Experience with AWS compute technologies (Lambda, ECS/ECR, EC2, API Gateway, IAM, S3)
- Experience with Amazon Neptune, graph databases, and Gremlin for modeling and querying taxonomy hierarchies
- Experience with search technologies such as Elasticsearch or OpenSearch
Preferred
- Knowledge of modern front-end technologies such as Vue, React, Angular, and Web Components
Original job description
Content provided by the employer
Original job description
Content provided by the employer
The Role:
At Morningstar, helping investors is what brings us together and drives our work. We are looking for software engineers who specialize in .NET, Python, AWS, and modern platform development to join our team, grow with us, introduce us to new ideas and develop products that empower our users.
We are evolving our content management system with AI-enabled capabilities to improve content workflows, discovery, and automation. We’re looking for engineers who are excited to learn, experiment, and apply emerging technologies alongside strong engineering fundamentals.
This role is ideal for a backend or platform-focused software engineer who enjoys building production systems and is curious about applying AI in practical ways. Every day, you’ll partner with team members across disciplines to develop products for investors. You’ll interact with product managers and business stakeholders to understand our domain and create technical solutions that push us forward. You will be a member of a vibrant technical community, sharing your knowledge while also learning from fellow technologists.
Location: Chicago, IL (Hybrid- 4 days onsite)
Responsibilities
Build well-designed, stable, secure, and scalable content platform services and applications.
Develop and enhance capabilities for content management, ingestion, workflows, search, and distribution.
Design and implement RESTful APIs and backend services using .NET, Python and AWS.
Contribute to AI-enabled features such as content tagging, metadata extraction, summarization, semantic search, and workflow automation.
Contribute to integrating external AI/LLM services (e.g., OpenAI, AWS Bedrock, or similar) into platform capabilities.
Use AI-assisted development tools to improve code quality, automate repetitive tasks, and accelerate delivery (e.g., AI-based code reviews, documentation, and testing support)
Partner with product managers and stakeholders to shape product vision and translate business needs into technical solutions.
Collaborate with teams and take ownership for delivering high-quality outcomes.
Stay current with emerging technologies and advocate for improvements where appropriate.
Requirements
A bachelor's degree in computer science or related field.
Two plus years of experience developing commercial quality applications.
Strong programming skills in C# and Python.
Working knowledge of messaging technologies (Kafka, AWS SQS/Kinesis) and relational databases (SQL Server, Postgres) technologies.
Experience with software engineering best practices, including test-driven development, automated unit testing and functional testing, and DevOps practices such as continuous integration/continuous delivery (CI/CD).
Knowledge and practical experience with domain modeling and object-oriented design patterns and principles, such as the SOLID principles.
Flexible team player who remains organized and productive while managing multiple deliverables.
Knowledge of modern front-end technologies is a plus (Vue, React, Angular, Web Components).
Experience with AWS compute technologies (Lambda, ECS/ECR, EC2, API Gateway, IAM, S3).
Experience with Amazon Neptune, graph databases, and Gremlin for modeling and querying taxonomy hierarchies.
Experience with search technologies such as Elasticsearch or OpenSearch.
We’re not considering candidates who require sponsorship now or in the future.
Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. That’s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
Financial Health
100% 401k match up to 6% of salary
Stock Ownership Potential
Company provided life insurance - 1x salary + commission
Physical Health
Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
Additional medical Wellness Incentives - up to $300-$600 annual
Company-provided long- and short-term disability insurance
Emotional Health
Trust-Based Time Off
6-week Paid Sabbatical Program
6-Week Paid Family Caregiving Leave
Competitive 8-24 Week Paid Parental Leave
Adoption Assistance
Leadership Coaching & Formal Mentorship Opportunities
Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses
Tuition Reimbursement
Social Health
Charitable Matching Gifts program
Dollars for Doers volunteer program
Paid volunteering days
15+ Employee Resource & Affinity Groups
Total Cash Compensation Range
$89,625.00-131,441.66Inclusive of annual base salary and target incentive
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.
001_MstarInc Morningstar Inc. Legal EntityAbout the company
Morningstar
Large Enterprise
Morningstar is a leading provider of independent investment research, helping investors make informed decisions by offering insights on mutual funds, stocks, and other financial vehicles. Founded in 1984, the company is recognized for its extensive data analytics, robust software solutions, and a commitment to transparency in financial reporting. Morningstar serves a diverse client base, including individual investors, financial advisors, and institutional clients, with a mission to empower investment decisions through unbiased information and innovative tools. With a global presence and a strong reputation for reliability, Morningstar is at the forefront of the financial services industry.