Software Engineering- Mulesoft, MTS/SMTS

About the Role

We are looking for a forward-thinking Software Engineer to own, administer, and scale our MuleSoft integrations across our Finance systems landscape, supporting mission-critical business processes.

In this role, you will serve as the primary process expert for your service area, keeping enterprise APIs running smoothly while working closely with developers, business stakeholders, and cross-functional teams to support end-to-end Salesforce business processes.

Beyond core administration, you will drive operational efficiency by analyzing support trends, identifying enhancements, and actively redesigning workflows by integrating AI agents alongside human support engineers. If you are agile, adaptable, and bridge the gap between enterprise integrations, platform reliability, and modern AI automation, this is your play.

Key Responsibilities

MuleSoft Platform & Finance Systems Administration

• Core Administration: Lead day-to-day administration, configuration, scaling, and proactive monitoring of MuleSoft integrations supporting core Finance and enterprise systems across CloudHub 2.0 and Runtime Fabric .
• Environment & Security Governance: Manage runtime configurations, secrets, environment variables, TLS certificates, and OAuth security while maintaining strict segregation of duties.
• Lifecycle Operations: Execute application restarts, runtime upgrades, capacity scaling, and configuration updates with minimal system downtime.

Application Support, Maintenance & Trend Analysis

• Production & Incident Support: Resolve technical and functional system issues across enterprise applications, analyzing logs, alerts, metrics, and transaction traces to intercept failures early.
• Proactive Improvement: Perform trend analysis on recurring support tickets to identify root causes and implement system enhancements that reduce overall support volume.
• Salesforce & Ecosystem Alignment: Serve as a primary process expert collaborating with developers, QA, infrastructure teams, and business stakeholders to support end-to-end Salesforce workflows and deploy new functionality.

AI-Driven Workflow & Process Automation

• Agentic Workflows: Design and implement intelligent support systems where AI agents collaborate alongside human support engineers to resolve incidents faster.
• Process Transformation: Identify manual, repetitive IT and business processes across the organization and transform them into streamlined, automated workflows.
• Automation Health: Continuously monitor existing automations, troubleshoot pipeline failures, and optimize system performance.

Release, Change Management & Governance

• Deployment Pipelines: Oversee sandbox environments, UAT testing, and production releases using established CI/CD best practices.
• Cross-Functional Coordination: Align major releases, enhancements, and platform upgrades across business stakeholders and development teams.
• Documentation: Maintain comprehensive, audit-ready technical documentation for system configurations, integrations, and business processes.

What You Bring

• MuleSoft Mastery: 4+ years of hands-on administration and implementation experience using the Anypoint Platform (Runtime Manager, CloudHub/CloudHub 2.0, API Manager, Exchange, and Mule Runtime).
• Enterprise & Finance Ecosystem Connectivity: Proven experience supporting integrations connecting Salesforce, Workday, SAP Concur, Coupa, relational databases, SFTP, REST/SOAP APIs, and messaging queues.
• Technical Depth: Solid grasp of SOA patterns, API security standards, TLS/certificates, CI/CD toolchains, and log analysis tools.
• Agility & Innovation Mindset: A proactive problem-solver comfortable managing multiple competing priorities, experimenting with new tools, and embracing AI-driven workflows.
• Communication & Collaboration: Strong verbal and written communication skills with a track record of collaborating effectively with developers, QA, and business partners.

Required Skills

• A demonstrated, genuine AI-first approach to engineering — using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
• Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.