Associate Software Engineer, Credit Tech

Responsibilities 

• GEO/SEO: Leverage GEO engineering best practices to help ensure Morningstar DBRS Content is indexed by top AI assistants such that people use popular AI assistants like ChatGPT/Gemini etc. and search for credit ratings related content or data, these tools should surface Morningstar DBRS content and refer users to dbrs.morningstar.com website.  

• Prompt Engineering: The practice of designing, refining, and optimizing input prompts to guide AI models (such as large language models, e.g., GPT-4) toward generating high-quality, relevant, and accurate outputs. 

• Cutting Edge AI Development: Use latest AI techniques and tools like computer use to drive to power accelerated Insights, Discovery and Action. 

• Backend & Data Development: Support the design and development of backend services to handle data processing, publication, and delivery to downstream applications. Assist in developing APIs and cloud-native components using AWS services. 

• Application Maintenance & Modernization: Help maintain, refactor, and migrate existing applications and services to modern, scalable AWS-based architectures. 

• Collaboration: Work closely with senior engineers, product teams, data engineers, and DevOps/SRE partners to align backend and cloud solutions with business needs.

• Engineering Practices: Write clean, maintainable, and testable code. Participate in code reviews and adhere to modern engineering standards. 

• Learning & Growth: Stay up to date on AWS cloud technologies and AI-assisted development tools. Demonstrate curiosity about applying AI and automation to improve engineering productivity and system efficiency. 

Qualifications 

• Problem-Solving: Ability to analyze technical challenges, propose solutions, and deliver reliable results with guidance.

• Methodology: Familiarity with Agile/Scrum practices and modern software development methodologies. 

• Security Awareness: Basic understanding of secure service design, API security concepts, and AWS security best practices. 

• Education: Bachelor’s degree in computer science or related field, or equivalent practical experience. 

• Experience: 0–2 years of professional software development experience, with exposure to backend development and cloud-based systems. 

Technical Skills 

• Experience building or consuming REST APIs; familiarity with event-driven patterns is a plus. 

• Hands-on exposure to AWS services such as Bedrock, Lambda, SQS, SNS, API Gateway, S3, and RDS; basic understanding of serverless patterns is preferred. 

• Experience with SQL/NoSQL databases and basic data workflows (plus). 

• Scripting experience with Python for automation, small data tasks, or AI experimentation (plus).