Software Engineer MTS — Automation & MuleSoft Agentic Cloud Services

Own Company
Own Company

Software Engineering

Bellevue, WA, USA

Posted on Jun 17, 2026

Description

About MuleSoft, a Salesforce Company

Our mission is to help organizations change and innovate faster by making it easy to connect the world’s applications, data, and devices. Companies like Spotify, McDonald’s, and Unilever rely on MuleSoft to stay agile, deliver faster, and make the most of their IT investment with API-led connectivity.

Hiring exceptional people who want to build a great company together is our number one priority, and we’re committed to providing an equal opportunity workplace where everyone is supported and inspired to do their best work. We work tirelessly to build this culture, and we’re proud to have been named the #1 Top Workplace in the Bay Area and a best place to work 6 years in a row.

Responsibilities

  • Design and deliver scalable software solutions for Automation & MuleSoft agentic cloud services

  • Gather and transform product requirements into an actionable engineering plan

  • Understand and practice Agile methodologies for software development

  • Influence and collaborate with cross-functional teams to deliver projects end-to-end

  • Design, implement, and tune robust APIs and features that scale in a multi-tenant environment

Required Skills

  • BS or MS in Computer Science, a related field, or equivalent practical experience

  • 3+ years of experience in software development

  • Deep knowledge of object-oriented programming languages such as Java, Go, or Python (Node.js or JavaScript a plus)

  • Broad knowledge of web standards and API protocols: REST, SOAP, XML, WSDL, HTTP, JSON, etc.

  • Experience with Spring, gRPC, REST, and HTTP protocols

  • Experience with Agile development methodologies

  • Experience with application/data integration and connectivity

  • Experience with distributed systems concepts such as scalability, fault tolerance, and load balancing

  • Experience with cloud-native architectures on AWS or GCP

  • Ability to identify limitations and offer solutions to challenging engineering problems