Senior Software Engineer-SAP Integration Suite
Moody's Investors Service, Charlotte, NC, United States
Skills and Competencies
7+ years of overall software engineering or integration experience, with 4+ years of SAP Integration Suite experience and experience in MuleSoft Anypoint Platform is a plus
Deep, hands‑on expertise with the MuleSoft Anypoint Platform, including API‑led connectivity, advanced API design, deployment automation, and platform governance
Strong proficiency in Java, Java Scripting, DataWeave, and advanced object‑oriented and integration design principles
Proven experience designing, developing, and optimizing highly scalable, secure RESTful APIs in enterprise environments
Expert‑level understanding of enterprise integration patterns, microservices architecture, event‑driven systems, and asynchronous messaging
Extensive experience integrating complex enterprise platforms such as SAP, Salesforce, and SuccessFactors, leveraging MuleSoft connectors, APIs, streaming, and event‑based architectures
Strong experience with cloud‑native integration architectures on AWS or Azure, including networking, security, and high‑availability design
Advanced knowledge of DevOps and CI/CD pipelines, including Maven, Jenkins, Git, automated testing, and deployment strategies
Proven ability to architect, optimize, and govern MuleSoft solutions for performance, scalability, resiliency, and security
Strong analytical, troubleshooting, and system design skills, with the ability to solve complex, large‑scale integration challenges
Excellent communication and stakeholder management skills, capable of influencing technical and business leadership
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
MuleSoft Developer Certification (MCD – Level 2 or higher) is strongly preferred. MuleSoft Architect Certification is a plus
AI‑related certifications are preferred
Education
Bachelor’s or master’s degree in computer science, Information Systems, or a related technical discipline
Responsibilities
This role is responsible for designing, delivering, and governing enterprise‑grade integration solutions that enable scalable, secure, and high‑performing business systems.
Design, develop, and deliver enterprise‑grade MuleSoft integrations and APIs with a strong focus on quality, performance, and reliability
Define and enforce integration standards, best practices, and governance models across the organization
Partner with enterprise architects, product owners, and business stakeholders to translate complex requirements into scalable integration solutions
Oversee and support end‑to‑end delivery of MuleSoft solutions, from design through production support
Drive performance tuning, security hardening, and scalability improvements across MuleSoft applications
Provide technical leadership and mentorship to MuleSoft developers and integration engineers
Lead code reviews, architecture reviews, and technical design discussions
Evaluate and adopt new MuleSoft capabilities, cloud services, and AI‑driven integration approaches
Champion AI‑enabled integration use cases, such as intelligent routing, automation, decision support, and orchestration of AI agents via APIs
Ensure compliance with security, regulatory, and data governance standards
Act as a key escalation point for providing root‑cause analysis and long‑term remediation strategies
About the Team
The Corporate Systems team within the Technology Services Group supports Moody’s core business and technology operations by enabling reliable day‑to‑day execution, strong coordination, and effective governance across enterprise platforms and shared services. The team partners closely with senior leaders, product teams, and key stakeholders to drive operational excellence while advancing innovation, including the adoption of AI‑driven capabilities, ensuring systems are resilient, forward‑looking, and positioned for continued growth.
For US‑based roles only: the anticipated hiring base salary range for this position is $116,500.00 – $169,000.00, 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 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.
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.
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7+ years of overall software engineering or integration experience, with 4+ years of SAP Integration Suite experience and experience in MuleSoft Anypoint Platform is a plus
Deep, hands‑on expertise with the MuleSoft Anypoint Platform, including API‑led connectivity, advanced API design, deployment automation, and platform governance
Strong proficiency in Java, Java Scripting, DataWeave, and advanced object‑oriented and integration design principles
Proven experience designing, developing, and optimizing highly scalable, secure RESTful APIs in enterprise environments
Expert‑level understanding of enterprise integration patterns, microservices architecture, event‑driven systems, and asynchronous messaging
Extensive experience integrating complex enterprise platforms such as SAP, Salesforce, and SuccessFactors, leveraging MuleSoft connectors, APIs, streaming, and event‑based architectures
Strong experience with cloud‑native integration architectures on AWS or Azure, including networking, security, and high‑availability design
Advanced knowledge of DevOps and CI/CD pipelines, including Maven, Jenkins, Git, automated testing, and deployment strategies
Proven ability to architect, optimize, and govern MuleSoft solutions for performance, scalability, resiliency, and security
Strong analytical, troubleshooting, and system design skills, with the ability to solve complex, large‑scale integration challenges
Excellent communication and stakeholder management skills, capable of influencing technical and business leadership
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
MuleSoft Developer Certification (MCD – Level 2 or higher) is strongly preferred. MuleSoft Architect Certification is a plus
AI‑related certifications are preferred
Education
Bachelor’s or master’s degree in computer science, Information Systems, or a related technical discipline
Responsibilities
This role is responsible for designing, delivering, and governing enterprise‑grade integration solutions that enable scalable, secure, and high‑performing business systems.
Design, develop, and deliver enterprise‑grade MuleSoft integrations and APIs with a strong focus on quality, performance, and reliability
Define and enforce integration standards, best practices, and governance models across the organization
Partner with enterprise architects, product owners, and business stakeholders to translate complex requirements into scalable integration solutions
Oversee and support end‑to‑end delivery of MuleSoft solutions, from design through production support
Drive performance tuning, security hardening, and scalability improvements across MuleSoft applications
Provide technical leadership and mentorship to MuleSoft developers and integration engineers
Lead code reviews, architecture reviews, and technical design discussions
Evaluate and adopt new MuleSoft capabilities, cloud services, and AI‑driven integration approaches
Champion AI‑enabled integration use cases, such as intelligent routing, automation, decision support, and orchestration of AI agents via APIs
Ensure compliance with security, regulatory, and data governance standards
Act as a key escalation point for providing root‑cause analysis and long‑term remediation strategies
About the Team
The Corporate Systems team within the Technology Services Group supports Moody’s core business and technology operations by enabling reliable day‑to‑day execution, strong coordination, and effective governance across enterprise platforms and shared services. The team partners closely with senior leaders, product teams, and key stakeholders to drive operational excellence while advancing innovation, including the adoption of AI‑driven capabilities, ensuring systems are resilient, forward‑looking, and positioned for continued growth.
For US‑based roles only: the anticipated hiring base salary range for this position is $116,500.00 – $169,000.00, 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 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.
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.
#J-18808-Ljbffr