Software Engineering LMTS

Salesforce•Bellevue, WA

2d•$172,500 - $260,100

About The Position

Salesforce MuleSoft is looking for a passionate and innovative Lead Software Engineer (LMTS) to join our platform engineering team. You will work with world-class engineers to build the breakthrough integrations, APIs, and platform capabilities our customers love, adopt, and use — while keeping our trusted integration platform stable, scalable, and secure. The role encompasses architecture, design, implementation, and testing across the full SDLC.

Requirements

10+ years of software development experience with large-scale distributed systems
Mastery of one or more: Java, Python, Scala, Go, Node.js (Java strongly preferred for MuleSoft platform work)
Deep understanding of MuleSoft Anypoint Platform — Anypoint Studio, DataWeave 2.0, API Manager, Runtime Manager, Exchange, MQ
Strong experience with REST/SOAP/GraphQL API design and microservices architecture
Experience designing and developing distributed systems at scale on public cloud — AWS, Azure, or GCP
Strong SQL and NoSQL database skills (PostgreSQL, MongoDB, Redshift, etc.)
Experience with CI/CD pipelines, version control (Git), and DevOps practices
Deep understanding of security standards: OAuth 2.0, JWT, mTLS, SAML
Proficiency in Kubernetes/Docker and cloud-native infrastructure
Demonstrated technical leadership and ability to mentor teams
Excellent written and verbal communication skills

Nice To Haves

MuleSoft Certifications: Certified Developer L1/L2, Integration Architect, Platform Architect
Experience with Kafka, Airflow, or event-driven architectures
Familiarity with Agentforce / AI-integrated workflows
Experience with MUnit testing, Splunk monitoring, and incident management
Prior experience in the MuleSoft T&P Planning Org or integration platform engineering

Responsibilities

Shape your team's system architecture and technical strategy for integration and API platform capabilities
Design, build, and deliver high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow
Architect and orchestrate complex, scalable microservices and integration systems where APIs and data flows connect Salesforce products and customer ecosystems
Make architectural and design decisions with a strong focus on performance, scalability, security, and future extensibility
Contribute to all phases of the SDLC — design, implementation, code reviews, automation, and testing — in a hybrid engineering model
Build efficient components and algorithms within a microservices-based, multi-tenant SaaS cloud environment
Mentor engineers, conduct code reviews, and provide technical guidance to drive high standards across the team
Develop test strategies, design automation frameworks, write unit/functional tests to drive code coverage and automation metrics
Participate in the team's on-call rotation to address complex problems in real-time and keep services highly available