Senior Software Engineer-SAP Integration Suite

About the role

Design, develop, and deliver enterprise-grade MuleSoft integrations and APIs with a strong focus on quality, performance, and reliability.

Responsibilities

• 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

Requirements

• 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

Qualifications

• MuleSoft Developer Certification (MCD – Level 2 or higher) is strongly preferred. MuleSoft Architect Certification is a plus
• AI-related certifications are preferred
• Bachelor’s or master’s degree in computer science, Information Systems, or a related technical discipline

Skills

• Java
• Java Scripting
• DataWeave
• Advanced object-oriented and integration design principles
• RESTful APIs
• Enterprise integration patterns
• Microservices architecture
• Event-driven systems
• Asynchronous messaging
• Cloud-native integration architectures on AWS or Azure
• DevOps and CI/CD pipelines
• Performance tuning, security hardening, and scalability improvements
• Technical leadership and mentorship
• Code reviews, architecture reviews, and technical design discussions
• Evaluation and adoption of new MuleSoft capabilities, cloud services, and AI-driven integration approaches
• Championing AI-enabled integration use cases
• Compliance with security, regulatory, and data governance standards
• Root-cause analysis and long-term remediation strategies

Benefits

Not specified

Pay

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.

Schedule

Not specified