Strong database expertise including SQL Server schema design, query and index optimization, stored procedures, Entity Framework 6, Entity Framework Core, and Dapper or ADO.NET
Experience with application performance analysis and optimization, including profiling, query tuning, and diagnosing production bottlenecks at scale
Ability to evaluate architectural and technical trade-offs across scalability, reliability, maintainability, cost, and modernization initiatives
Experience with asynchronous processing, distributed systems, unit and integration testing strategies, and mentoring engineers through code reviews
Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Education
Strong technical foundation built through formal education, self-directed learning, or hands-on professional experience
Responsibilities
Support and evolve mission-critical applications powering Orbis while driving performance, reliability, security, and modernization initiatives across large-scale financial data platforms.
Own the technical health of existing .NET Framework 4.8 and .NET 10 applications, ensuring stability, maintainability, security, and performance
Lead the analysis and resolution of complex production issues and recurring problems by identifying and addressing root causes
Design and drive optimization initiatives across application performance, database queries, indexing strategies, and technical debt reduction
Define technical approaches for new features and enhancements, ensuring alignment with existing architectural standards and long-term objectives
Assess current application architectures and recommend pragmatic modernization opportunities, including targeted adoption of .NET 10 where appropriate
Own the full software development lifecycle from solution design and implementation through deployment and production monitoring
Collaborate closely with product, design, and data teams to deliver impactful solutions that support business goals and client needs
Champion performance, security, reliability, and engineering excellence standards for systems handling sensitive financial data while mentoring engineers and sharing technical knowledge
About the Team
You'll join the Digital Content & Innovation group within Moody's Analytics, the engineering organization behind moodys.com and the platforms supporting critical financial decision-making for global banks, institutional investors, and corporations. The team responsible for Orbis manages one of the world's largest company information resources, providing data on more than 654 million companies and entities to thousands of clients worldwide. Our engineering teams operate with clear ownership, trunk-based development, code-driven continuous integration and deployment, and modern cloud-based practices. By joining the team, you will work on meaningful technical challenges at scale while helping shape the future of a market-leading financial intelligence platform through high-quality engineering, AI-augmented workflows, and responsible innovation.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.