Debug, troubleshoot, and resolve application issues across the stack.
Collaborate with cross-functional teams — team lead, business analysts, QA — to deliver high-quality
software.
Learn and adopt modern development tools and engineering best practices, including AI-assisted
development.
Requirements
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
3–5 years of backend development experience.
Python (primary): Strong proficiency in Python 3.x with FastAPI or Flask; REST API development and a solid
understanding of microservices.
Pandas and NumPy for data processing.
Multiprocessing or multithreading fundamentals.
Robust exception handling; strong data structures and algorithms.
pytest for unit testing; dependency management with Poetry or uv.
Java (required secondary): Java 17+ (Java 21 a plus) with Spring Boot / Spring MVC, REST API development,
Maven or Gradle, and JUnit.
Object-oriented programming, basic design patterns, and SOLID principles.
Git, debugging and troubleshooting skills, and Agile/Scrum experience.
Strong problem-solving ability, eagerness to learn, and good communication skills.
Good to Have
AWS fundamentals (S3, Lambda, ECS, RDS).
PostgreSQL / SQL.
Docker; basic Kubernetes knowledge.
Apache Kafka or other messaging/streaming technologies.
CI/CD (GitHub Actions or Jenkins).
GitHub Copilot or other AI coding assistants; exposure to AI/LLM applications or automation tools.
Redis.
EOE Statement
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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