Senior Software Engineer

PassFort; New York (NY); On-site; USD 133,000 - 192,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Parental leave

Paid time off

Employee stock purchase plan

Tuition reimbursement

Job summary

Moody's is seeking a senior backend engineer to design, code, test, and operate production-grade backend services and AI-enabled workflows. You will own features end-to-end, building API-driven microservices and data pipelines that support real-time and batch AI workloads.

You will collaborate with product managers, data scientists, and engineers to implement AI-powered solutions, ensure security and observability, and contribute to design reviews while advancing responsible AI practices across

Qualifications

• 5+ years of software engineering experience designing, coding, testing, and operating production-grade backend services and cloud-native applications.
• Strong coding proficiency in TypeScript, Python, C#, or similar technologies, with experience building scalable APIs, microservices, and distributed systems.
• Practical experience building enterprise AI applications using large language models, including agents, retrieval augmented generation, orchestration frameworks, and model optimization.
• Own services, components, or features end to end, from design through production deployment and operation.
• Hands-on experience with cloud-native technologies, serverless applications, event-driven architectures, data pipelines, relational and NoSQL databases, vector databases, observability tooling, and automated deployment pipelines.
• Solid understanding of algorithms, data structures, scalability, reliability, performance optimization, security best practices, and engineering trade-offs.
• Experience mentoring engineers through code reviews, pairing, debugging, documentation, and promoting engineering excellence via testing and CI/CD.
• Demonstrated proficiency in AI concepts, hands-on experience using AI tools to streamline workflows and implement AI-powered solutions; awareness of AI risk management and responsible AI use.

Responsibilities

• Design, code, test, and operate backend services, APIs, data pipelines, and inference pipelines for real-time and batch AI workloads.
• Own delivery of features end to end, from design through deployment, monitoring, production support, and continuous improvement.
• Build and enhance large language model features using retrieval augmented generation, orchestration frameworks, evaluation methods, agentic workflows, and tool integration.
• Contribute to technical designs, participate in design reviews, and identify risks, constraints, and trade-offs.
• Maintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, and on-call readiness.
• Apply ML operations practices including prompt versioning, automated evaluation, deployment pipelines, monitoring, and production issue resolution.
• Partner with product managers, data scientists, ML engineers, and fellow engineers to translate requirements into reliable software solutions.
• Mentor engineers, contribute to shared frameworks and developer tooling, document system designs and runbooks, promote responsible AI practices across features.

Skills

Backend services

TypeScript

Python

C#

LLM apps

Ownership

Cloud-native

Serverless

Event-driven

Data pipelines

Relational DBs

NoSQL

Vector databases

Observability

CI/CD

Algorithms

Security best practices

Mentoring

Code reviews

Responsible AI

Education

Bachelor's degree in Computer Science, Engineering, or related discipline

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.

Employment eligibility to work in the U.S. is required, as Moody’s will not pursue visa sponsorship for this position.

Skills and Competencies

• 5+ years of software engineering experience designing, coding, testing, and operating production-grade backend services and cloud-native applications
• Strong coding proficiency in TypeScript, Python, C#, or similar technologies, with experience building scalable application programming interfaces, microservices, and distributed systems
• Practical experience building enterprise AI applications using large language models, including agents, retrieval augmented generation, orchestration frameworks, and model optimization
• Demonstrated ability to own services, components, or features end to end, from technical design through production deployment and ongoing operation with limited supervision
• Hands-on experience with cloud-native technologies, serverless applications, event-driven architectures, data pipelines, relational and NoSQL databases, vector databases, observability tooling, and automated deployment pipelines
• Solid understanding of algorithms, data structures, scalability, reliability, performance optimization, security best practices, and engineering trade-offs
• Experience mentoring engineers through code review, pairing, debugging, documentation, and the promotion of engineering excellence through testing and continuous improvement practices
• 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

• Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience

Responsibilities

• Design, code, test, and operate backend services, application programming interfaces, data pipelines, and inference pipelines that support real-time and batch AI workloads
• Own the delivery of assigned features and components end to end, from technical design through deployment, monitoring, production support, and continuous improvement
• Build and enhance large language model application features using retrieval augmented generation, orchestration frameworks, evaluation methods, agentic workflows, and tool integration
• Contribute to technical designs, participate in design reviews, and identify risks, constraints, trade-offs, and alternative approaches
• Maintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, operational readiness, and participation in on-call support
• Apply machine learning operations practices, including prompt versioning, automated evaluation, deployment pipelines, monitoring, and production issue resolution
• Partner closely with product managers, data scientists, machine learning engineers, and fellow engineers to translate requirements into reliable software solutions
• Mentor engineers, contribute to shared frameworks and developer tooling, document system designs and operational runbooks, and promote responsible AI practices across delivered features

About The Team

Our Digital Content and Innovation (DC&I) team is responsible for building and deploying intelligent, AI-powered solutions that drive innovation across Moody's products and platforms. We accelerate the development of next-generation analytical tools, enable smarter client experiences, and advance Moody's leadership in applied artificial intelligence. By joining the team, you will work alongside engineers, data scientists, and AI specialists across the full AI lifecycle, helping build scalable, production-ready platforms and applications that transform how Moody's delivers insight and value responsibly and at scale.

For US-based roles only: the anticipated hiring base salary range for this position is $132,600.00 - $192,300.00, 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 [e-mail]. 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.

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.