Job description

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. Employment eligibility to work in the United States is required, as Moody’s will not pursue visa sponsorship for this position. Skills and Competencies • 8 to 15 years of hands-on experience delivering high-impact, multi-team technical projects • Proficiency in Java, C#, Scala • Experience with relational databases (Postgres, MySQL, SQL Server, Oracle) and NoSQL data stores • Strong understanding of data structures, algorithms, and software design principles • Proven development of production-quality RESTful APIs and microservices • Experience with cloud-native application development using Docker and Kubernetes, as well as on-prem solutions • Focus on scalability, availability, reliability, security, and cost-effective execution • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using tools such as Copilot, Claude, and ChatGPT to streamline workflows and enhance operational efficiency Education • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience Responsibilities The Staff Software Engineer leads the design and delivery of complex, large-scale technical solutions while influencing strategy, mentoring engineers, and driving high-impact outcomes across multiple teams. • Define and execute multi-year, multi-team technical strategies with measurable business impact • Deliver large-scale, high-stakes projects that exceed quality and reliability standards • Drive alignment across engineering teams to prioritize impactful customer outcomes • Influence technical roadmaps and strategic decisions through sound engineering judgment • Mentor engineers and foster a strong culture of technical excellence and growth • Design, build, and maintain scalable and resilient software architectures • Proactively identify, manage, and mitigate technical risks • Partner with product teams to align technical trade-offs with customer value About the Team The Data Platform Engineering team supports key products and platform components within Moody’s Insurance group, including Risk Modeler, Data Bridge, Underwrite IQ, and the Unified Data Store. The team focuses on building scalable and reliable platforms and services across databases, REST APIs, and core platform capabilities, leveraging technologies such as Java, C#, and SQL Server to enable high-quality, data-driven solutions. For US-based roles only: the anticipated hiring base salary range for this position is $168,100.00 - $243,700.00, 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.

Requirements

Must-haves

Employment eligibility to work in the United States is required, as Moody’s will not pursue visa sponsorship for this position.
Skills and Competencies
8 to 15 years of hands-on experience delivering high-impact, multi-team technical projects
Proficiency in Java, C#, Scala
Experience with relational databases (Postgres, MySQL, SQL Server, Oracle) and NoSQL data stores
Strong understanding of data structures, algorithms, and software design principles
Proven development of production-quality RESTful APIs and microservices
Experience with cloud-native application development using Docker and Kubernetes, as well as on-prem solutions
Focus on scalability, availability, reliability, security, and cost-effective execution
Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using tools such as Copilot, Claude, and ChatGPT to streamline workflows and enhance operational efficiency
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience
The Staff Software Engineer leads the design and delivery of complex, large-scale technical solutions while influencing strategy, mentoring engineers, and driving high-impact outcomes across multiple teams.
Define and execute multi-year, multi-team technical strategies with measurable business impact
Deliver large-scale, high-stakes projects that exceed quality and reliability standards
Drive alignment across engineering teams to prioritize impactful customer outcomes
Influence technical roadmaps and strategic decisions through sound engineering judgment
Mentor engineers and foster a strong culture of technical excellence and growth
Design, build, and maintain scalable and resilient software architectures
Proactively identify, manage, and mitigate technical risks
Partner with product teams to align technical trade-offs with customer value
About the Team
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 .

Nice-to-haves

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Keywords to mirror

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Platform: career-feeds
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave