Senior Software Engineer
Morningstar3 months ago
Base Salary
$153k - $153k/yr
Responsibilities
- Architect, optimize, and develop Python-based applications and APIs using FastAPI, Flask, asynchronous programming, and event-based architectures.
- Architect and optimize relational and vector databases, including schema design, normalization, indexing, replicas, sharding, transactions, and migrations.
- Research and review AI-driven enterprise platforms involving retrieval-augmented generation, LLM fine-tuning, model optimization, AI governance, and safety guardrails.
- Develop scalable data processing, retrieval, caching, queue-based, and event-driven systems using cloud services and supporting infrastructure.
- Define technical documentation and architectural guidelines, conduct design reviews, enforce coding standards, and ensure code maintainability and scalability.
- Drive AI security, compliance, governance, tool adoption, and alignment of AI strategies with business and technical requirements.
- Build or support AI capabilities including model-provider integrations, function calling, structured outputs, conversational memory, prompt engineering, and agentic orchestration.
- Collaborate with cross-functional teams on financial AI applications, investment-related AI, and financial data analysis.
Requirements
- Bachelor's degree in computer science or a related field, or foreign equivalent, plus 5 years of relevant experience; alternatively, a master's degree or foreign equivalent plus 3 years of relevant experience.
- Relevant experience may be as a Software Engineer, Application Development Associate, or in a related position, with suitable combinations of education, training, and experience accepted.
- Experience with database engineering using SQL Server and PostgreSQL, including design, normalization, optimization, sharding, ACID transactions, and migrations.
- Production Python development, API development, object-oriented programming in Python or Java, design patterns, and UML architecture.
- Experience with QlikView, Pandas, Plotly, and Matplotlib for data processing, visualization, and analysis.
- Experience with AWS services, application deployment and monitoring tools, Git, and CI/CD practices.
- Knowledge of machine learning and statistical methods, NLP, embeddings, vector databases, GraphQL-based querying, and AI-powered retrieval.
- Experience with SQS, Celery, Redis, event-driven architectures, caching, and scalable request handling.
- Knowledge of OpenAI, Anthropic, MistralAI, retrieval-augmented generation, function calling, structured outputs, and conversational memory.
- Experience with prompt engineering, LangGraph or AutoGen, feature flagging tools such as Split or CloudBees, and LLM safety concepts including Transformers, attention mechanisms, fine-tuning, and hallucination mitigation.
- Contributions to Python open-source projects or packages and experience with financial AI, investment-related AI, or financial data analysis.
- Must possess unrestricted right to work in the United States.
Benefits
- Base salary of $153,317.00, plus stock ownership potential and a 401(k) match of up to 6% of salary.
- Comprehensive medical, dental, and vision benefits, potential premium discounts, HSA contributions, wellness incentives, life insurance, and short- and long-term disability insurance.
- Trust-based time off, a six-week paid sabbatical, paid family caregiving leave, and 8–24 weeks of paid parental leave.
- Adoption assistance, leadership coaching, formal mentorship, tuition reimbursement, and a $1,000 annual flex stipend for education and well-being expenses.
- Charitable matching, volunteer programs, paid volunteering days, and 15+ employee resource and affinity groups.
- Hybrid work environment with in-person collaboration each week; most locations require four days in the office, while remote requests are considered under company policy.
Tech Stack
Categories
About Morningstar
Morningstar, Inc. is a leading provider of independent investment insights in North America, Europe, Australia, and Asia. The Company offers an extensive line of products and services for individual investors, financial advisors, asset managers and owners, retirement plan providers and sponsors, institutional investors in the debt and private capital markets, and alliances and redistributors. Morningstar provides 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 also offers investment management services through its investment advisory subsidiaries, with approximately $369 billion in AUMA as of Sept. 30, 2025. The Company operates through wholly-owned subsidiaries in 32 countries.