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 culture of responsible AI adoption across the organization
Education
Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent professional experience
Responsibilities
Design and deliver scalable full stack software solutions that power Moody's enterprise platforms, cloud-native systems and analytics workflows.
Design and implement full stack features, including backend services, APIs, data integrations and responsive Angular or React user interface components
Develop cloud-native services and serverless applications using C# and .NET Core, Python and FastAPI on AWS Lambda, SQS and AWS Batch, and help evolve the AWS environment, deployment processes and continuous integration and delivery pipelines
Own the architecture and technical direction of your domain, evaluating trade-offs, documenting key decisions, managing technical debt and ensuring alignment with platform, security and architecture standards
Write technical specifications and estimates that translate product goals and user experience direction into clear engineering plans, and connect technical work to business outcomes
Build reusable frameworks, libraries and shared components that accelerate development across engineering teams while ensuring strong code quality, test coverage and performance validation
Collaborate cross-functionally with product, design, quality assurance, DevOps, program management and global engineering teams to deliver end-to-end solutions
Analyze and resolve complex production issues, lead through incidents and critical deliveries, identify root causes and drive improvements to system stability, scalability and availability
Champion artificial intelligence-assisted development by setting standards for how the team uses AI tools, evaluate where large language model and agentic capabilities add real value to our platforms, lead code reviews and technical discussions, and mentor engineers to foster a culture of continuous improvement
About the Team
Our Moody's Analytics Software Engineering team is responsible for building and maintaining the enterprise platforms, cloud-native systems and analytics workflows that power Moody's data and intelligence solutions. We operate at the intersection of technology and financial risk, delivering scalable, high-quality software that serves clients and internal stakeholders globally. By joining our team, you will contribute to innovative engineering work that embraces artificial intelligence, modern cloud infrastructure and agile delivery practices to drive meaningful business impact and operational excellence across Moody's Analytics.
For US-based roles only: the anticipated hiring base salary range for this position is $140,200.00-$207,00.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.
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.
For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody’s Compliance Expo page
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.