Staff Software Engineer (.NET / AWS)

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 8+ years of professional software engineering experience, including multi-year ownership of a significant domain with documented decisions and demonstrated impact; proven experience as a senior or technical lead engineer with a track record of mentoring engineers and raising the quality bar across teams Expert-level full stack development skills required, with C# and .NET Core (.NET 8), ASP.NET and Web APIs as the primary backend stack, alongside Python and FastAPI for serverless services; frontend experience with Angular or React, TypeScript, HTML5, CSS and JavaScript; must demonstrate deep proficiency in designing, developing, scaling and maintaining complex distributed applications and maintainable user interface architecture Strong hands-on experience building, deploying and operating cloud-native solutions on AWS required, including .NET and Python on Lambda, SQS-driven event-based workflows and AWS Batch; required to design reliable, scalable cloud services aligned with Moody's security and operational standards Ability to design end-to-end systems, APIs, data flows and integration patterns required; must write clear technical specifications and accurate estimates, understand trade-offs involving scalability, performance and reliability, document key decisions, manage technical debt and lead design for complex components Experience with SQL Server (advanced T-SQL, stored procedures, performance tuning), PostgreSQL and DynamoDB required, with exposure to MongoDB; must demonstrate ability to design efficient schemas, optimize queries and ensure data integrity Strong working knowledge of Git and GitHub, CI/CD pipelines such as CircleCI or Jenkins, automated deployment patterns and test-driven development required; experience with observability tools such as New Relic, AWS CloudWatch or Splunk; infrastructure as code experience with Terraform or AWS CDK is preferred Working knowledge of security, privacy and governance practices for enterprise software required, with the ability to build them into design and delivery; ability to connect technical work to business outcomes and partner with product on priorities, trade-offs and feasibility Ability to partner closely with product managers, designers, QA, DevOps and program management in Agile teams required; must communicate technical plans and risks clearly to technical and non-technical stakeholders; regular use of AI coding tools such as GitHub Copilot, Cursor or Claude with the judgment to maintain quality and security standards; hands-on exposure to LLM integration, prompt engineering and agentic workflows is preferred Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency; strong experience using AI tools to lead innovation initiatives; demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a cult