Drimva

Salesforce

Success Architect - MuleSoft

$123K–$186K

Indiana - Indianapolis +11 · Office - Flexible · Full-time · Posted Sep 10, 2026

Location
Indiana - Indianapolis
Illinois - Chicago
Massachusetts - Boston
Washington - Seattle
Massachusetts - Burlington
Washington - Bellevue
Texas - Dallas
California - Irvine
Colorado - Denver
Georgia - Atlanta
Virginia - Mclean
Texas - Austin
Experience
Significant prior MuleSoft practitioner experience; no number of years stated.

About the job

Advises Signature Success customers on MuleSoft architecture, performance, DevOps, and solution design to improve technical outcomes and customer success.

What you'll do

  • Serve as a MuleSoft subject-matter expert for the Success Architect organization, including enterprise architecture, governance, and cross-cloud solutions.
  • Evaluate customers’ technical architectures and recommend optimization strategies for DevOps, performance, and solution design.
  • Develop delivery and discovery assets tailored to MuleSoft customers and build relationships with internal and external partners.

What they ask for

  • Broad perspective on API and integration patterns, use cases, technologies, and trends.
  • Significant prior experience as a MuleSoft practitioner, including hands-on experience with large-scale integration deployments.
  • Recognized and certified MuleSoft expertise, with deep knowledge of the Anypoint Platform.
  • Expert domain knowledge in performance, scaling, DevOps, and containerization, including working knowledge of Kubernetes.

Nice to have

  • Familiarity with micro-services and cloud architecture, including on-prem, hybrid, and cloud considerations.
  • Customer-facing experience in professional services, solutions architecture, or customer success.

Pay

$123,100 - $186,300 annually (base salary)

Tools

MuleSoft, Anypoint Platform, Kubernetes

AI focus

No AI work specified for the role; Salesforce states that AI tools are used to help assess candidates’ resumes and qualifications, with humans making selection and hiring decisions.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)