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NEXTMOVEFDE careers · United States
Morningstar

Senior Software Engineer

AI summary of the role

Senior Software Engineer role architecting and optimizing Python-based AI platforms and APIs at Morningstar.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Architect, optimize, and develop Python-based applications and APIs (FastAPI, Flask, RESTful services) with asynchronous and event-based architectures using cloud-native services.
  • Architect and optimize relational and vector databases (PostgreSQL, Weaviate, Pinecone) and work with dataframes for data processing and analysis.
  • Drive AI security, compliance, and governance strategies including hallucination mitigation, ethical AI practices, and AI guardrails.
  • Architect, research, and review AI-driven enterprise platforms (RAG, LLM fine-tuning, AI governance, model optimization).

What you’ll bring

  • Bachelor's degree in computer science or related field plus 5 years of relevant experience, or Master's degree plus 3 years.
  • Database engineering management through RDBMS (SQL Server, PostgreSQL) including design, normalization, optimization, sharding, ACID transactions, and migrations.
  • Python development for production applications and APIs, including object-oriented programming and data processing with Pandas, Plotly, Matplotlib.
  • Cloud and infrastructure management using AWS services (S3, Aurora, RDS, API Gateway, Lambda).

Technologies

Python · FastAPI · Flask · PostgreSQL · Weaviate · Pinecone · AWS Lambda · LangGraph · AutoGen · OpenAI · Anthropic · MistralAI

About Morningstar

Provides independent investment research, data, ratings, indexes, and managed portfolios to individual and institutional investors across public and private markets.

Public · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

Job Duties: Architecting, optimizing and developing Python-based applications and APIs (FastAPI, Flask, RESTful services), including asynchronous programming and event-based architectures using cloud-native services (20%). Architecting, optimizing relational and vector databases (PostgreSQL, SQLAlchemy, query optimization, indexes, replicas, migrations, Weaviate, Pinecone) and working with dataframes for data processing and analysis (SQL-based agents) (20%). Driving AI security, compliance, and governance strategies (hallucination mitigation, ethical AI practices, AI guardrails) (10%). Architecting, researching and reviewing AI-driven enterprise platforms (retrieval-augmented generation, LLM fine-tuning, AI governance, model optimization) (20%). Defining and reviewing technical documentation, setting architectural guidelines, enforcing best coding practices, conducting design reviews,
More from the job description

Job Duties: Architecting, optimizing and developing Python-based applications and APIs (FastAPI, Flask, RESTful services), including asynchronous programming and event-based architectures using cloud-native services (20%). Architecting, optimizing relational and vector databases (PostgreSQL, SQLAlchemy, query optimization, indexes, replicas, migrations, Weaviate, Pinecone) and working with dataframes for data processing and analysis (SQL-based agents) (20%). Driving AI security, compliance, and governance strategies (hallucination mitigation, ethical AI practices, AI guardrails) (10%). Architecting, researching and reviewing AI-driven enterprise platforms (retrieval-augmented generation, LLM fine-tuning, AI governance, model optimization) (20%). Defining and reviewing technical documentation, setting architectural guidelines, enforcing best coding practices, conducting design reviews, and ensuring maintainability and scalability of codebases (10%). Collaborating with cross-functional teams to align AI strategies with business needs and technical requirements (20%). **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, or a related field, or foreign equivalent and 5 years of relevant experience as a Software Engineer, Application Development Associate, or in a r [... source excerpt omitted ...] abase engineering management through RDBMS (SQL Server, PostgreSQL) including design, normalization, optimization, sharding, ACID transactions, and migrations. Python Development: Production applications, APIs (calling and invoking, Rest API’s) for data preprocessing. Object-oriented programming in Python/Java, including OOP design patterns and UML architecture. Data processing and visualization by using QlikView and Python (Pandas, Plotly, Matplotlib). Agile development practices with emphasis on customer-centric delivery. Cloud and infrastructure management by using various cloud services such as AWS S3, Aurora, RDS, API Gateway, and AWS Lambda. Machine learning and statistical m [... source excerpt omitted ...] ur 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

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