Associate Software Engineer, Credit Tech
Morningstar Sustainalytics is seeking an Associate Software Engineer for their Credit Tech team. The role involves leveraging AI engineering best practices to enhance credit ratings content accessibility, developing backend services, and collaborating with various teams to meet business needs.ResponsibilitiesLeverage 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 websiteThe 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 outputsUse latest AI techniques and tools like computer use to drive to power accelerated Insights, Discovery and ActionSupport 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 servicesHelp maintain, refactor, and migrate existing applications and services to modern, scalable AWS-based architecturesWork closely with senior engineers, product teams, data engineers, and DevOps/SRE partners to align backend and cloud solutions with business needsWrite clean, maintainable, and testable code. Participate in code reviews and adhere to modern engineering standardsStay 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 efficiencySkillsAbility to analyze technical challenges, propose solutions, and deliver reliable results with guidanceFamiliarity with Agile/Scrum practices and modern software development methodologiesBasic understanding of secure service design, API security concepts, and AWS security best practicesBachelor's degree in computer science or related field, or equivalent practical experience0–2 years of professional software development experience, with exposure to backend development and cloud-based systemsExperience building or consuming REST APIs; familiarity with event-driven patterns is a plusHands-on exposure to AWS services such as Bedrock, Lambda, SQS, SNS, API Gateway, S3, and RDS; basic understanding of serverless patterns is preferredExperience with SQL/NoSQL databases and basic data workflows (plus)Scripting experience with Python for automation, small data tasks, or AI experimentation (plus)Frontend exposure to Vue.js or other modern JavaScript frameworks (plus)Interest or basic experience with AI-assisted development tools (e.g., GitHub Copilot), prompt engineering, or integrating simple AI APIsUnderstanding how AI can support automation, testing, or data workflows is a strong plusAnalytical thinking to break down complex tasks into clear instructionsUnderstanding of AI model strengths, limitations, and context windowsExperimentation with prompt phrasing for improved resultsBenefits100% 401k match up to 6% of salaryStock Ownership PotentialCompany provided life insurance - 1x salary + commissionComprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coveragesAdditional medical Wellness Incentives - up to $300-$600 annualCompany-provided long- and short-term disability insuranceTrust-Based Time Off6-week Paid Sabbatical Program6-Week Paid Family Caregiving LeaveCompetitive 8-24 Week Paid Parental LeaveAdoption AssistanceLeadership Coaching & Formal Mentorship OpportunitiesAnnual Flex Stipend - $1000 annually to cover personal education & well-being expensesTuition ReimbursementCharitable Matching Gifts programDollars for Doers volunteer programPaid volunteering days15+ Employee Resource & Affinity GroupsCompany OverviewMorningstar Sustainalytics is a leading independent ESG and corporate governance research, ratings and analytics firm that supports investors around the world with the development and implementation of responsible investment strategies. It was founded in 1992, and is headquartered in Amsterdam, NL, with a workforce of 1001-5000 employees. Its website is http://www.sustainalytics.com.
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