Morningstar

Design and build production-ready AI applications and infrastructure on AWS to support business workflows and integrate AI capabilities into products. | Strong software engineering fundamentals with professional Python and AWS experience, plus enterprise AI platform knowledge and ability to translate business problems into technical solutions. | The Group Morningstar DBRS provides independent credit ratings, research, and risk insights to market participants around the world. As AI becomes a practical tool for research, analysis, and operational workflows, we're building the foundations that allow teams across the business to use it responsibly and effectively. This team sits at the intersection of software engineering, AI, and business transformation. We build the platforms, services, and tools that help Morningstar DBRS move from experimentation to real-world adoption. The Role We're looking for a Senior Software Engineer to help shape how AI is used across Morningstar DBRS. This is not a research role and it is not focused on building isolated proofs of concept. You'll develop the shared infrastructure, services, and applications that allow teams across the organization to deploy AI capabilities into production. You'll work closely with engineers, product partners, and business stakeholders to identify opportunities where AI can improve workflows, reduce manual effort, and support better decision-making. You'll have significant influence over technical direction while remaining hands-on in the design, development, and operation of the systems you build. What you'll be doing • Design and build production AI applications using AWS Bedrock and related AWS services, with a focus on reliability, security, and maintainability. • Develop AI agents, MCP servers, APIs, and shared platform capabilities that enable other teams to build and deploy AI-powered solutions. • Partner with business and technology teams to understand complex workflows and identify opportunities where AI can deliver measurable improvements. • Evaluate and implement approaches such as tool use, retrieval-based architectures, orchestration frameworks, and model evaluation techniques to improve application performance and accuracy. • Modernize existing Python-based applications and integrate AI capabilities into products and workflows already used across Morningstar DBRS. • Contribute to technical decisions, engineering standards, and delivery planning while helping guide less experienced engineers when needed. What we're looking for • Strong software engineering fundamentals with experience building and operating production applications in AWS. • Professional experience developing applications and services in Python. • Experience delivering AI-powered applications beyond experimentation, including deploying solutions used by internal or external customers. • Hands-on experience with AWS Bedrock or comparable enterprise AI platforms and the surrounding ecosystem of model integration, evaluation, and monitoring. • Experience designing and consuming APIs, building distributed services, and integrating with enterprise systems. • A practical approach to software architecture, testing, observability, and operational support. • Ability to work with both technical and non-technical stakeholders to translate business problems into software solutions. • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 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 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.

Lead design and development of scalable AI and cloud-native software solutions with technical leadership and cross-team collaboration. | Requires 8+ years software engineering experience with cloud AI platforms, DevOps, and leadership, plus bachelor's degree or equivalent. | Architect and lead the development of scalable AI and cloud-native Agentic solutions using OpenAI, Azure, and AWS to enhance financial data acquisition and automation capabilities; spearhead the design and implementation of AI-powered transcription platforms, driving significant improvements in speed and efficiency (10%). Design, code, debug, maintain, and upgrade high-performance software systems, ensuring system performance, reliability, and maintainability (10%). Provide technical leadership across multiple engineering teams, guiding day-to-day development activities and architectural decision-making (10%). Lead cross-functional collaboration with Application Architects, Systems Engineers, DevOps/SRE, and business stakeholders to ensure alignment between technical solutions and business objectives (10%). Advocate and enforce global best practices for product performance, reliability, scalability, security, and code reusability (5%). Conduct architectural design and system planning, ensuring scalable solutions that balance technical excellence with financial sector business needs (20%). Enforce coding standards and software engineering best practices for applications across development teams (10%). Lead DevOps efforts with Docker, Kubernetes, and AWS Fargate; implemented CI/CD pipelines with SonarQube and automated infrastructure deployments (10%). Make strategic infrastructure decisions, monitor operational costs, and implement optimizations to reduce spend and improve system efficiency (10%). Attend team meetings to facilitate brainstorming, problem-solving, and project updates, fostering a culture of innovation and technical rigor (5%). ***Remote work requests will be considered consistent with company’s remote work policy. Job Requirements: This position requires a Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a technology-related filed or foreign equivalent and 8 years of software engineering experience in Lead, Principal, Senior, Associate Software Engineer, Developer, or related position; or a Master’s degree in Computer Science, Computer Engineering, Information Technology, or a technology-related filed or foreign equivalent and 6 years of software engineering experience in Lead, Principal, Senior, Associate Software Engineer, Developer, or related position. This position also requires 5 years of experience in designing scalable AI and cloud-native solutions using AWS, Azure OpenAI or similar Cloud platforms; 5 years of experience developing commercial quality software products and solutions particularly focused on distributed and real-time systems; 5 years of experience with a variety of technology components and stacks, including Python and Java; 5 years of experience with performance, reliability, scalability, security, and reusability tactics and strategies; 5 years of experience defining, refining, and maintaining application architectures for sophisticated end-user software products; 5 years of experience with troubleshooting and debugging skills; 3 years of experience mentoring and leading engineering teams; 3 years of experience in machine learning, including model development and deployment in production environments; 3 years of experience building and delivering proof-of-concepts (POCs) to validate technical solutions; 3 years of experience with AWS cloud platforms and SaaS architectures; 3 years of experience DevOps, implementing CI/CD pipelines, containerizing using Docker and orchestration using Kubernetes/AWS Fargate; 3 years of experience in agile development practices including scrum and scaled agile. *Will accept any suitable combination of education, training, and experience. Must possess unrestricted right to work in the U.S. in this position Base Salary Compensation: $117,957 – $123,010 per year 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 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 Entity