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Software Engineering SMTS

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Relha LLC
Full Time position
Listed on 2026-09-04
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, DevOps, Software Engineer
Salary/Wage Range or Industry Benchmark: 170000 - 210000 USD Yearly USD 170000.00 210000.00 YEAR
Job Description & How to Apply Below

Job Category Software Engineering About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Role Description

Salesforce Mule Soft is looking for a Senior Member of Technical Staff (SMTS) to join our platform engineering team. You will work alongside world-class engineers to design, build, and ship integration platform capabilities and APIs that customers love, adopt, and rely on - at massive scale. The role spans the full SDLC: architecture, design, implementation, testing, and production operations in a hybrid engineering model.

Your

Impact

As a Senior Software Engineer on the Mule Soft Platform team, your responsibilities will include:

Design and develop high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow

Build scalable, performant backend services and APIs within a microservices-based, multi-tenant SaaS cloud environment

Contribute to Mule Soft platform features including integration flows, API lifecycle management, and runtime operations

Participate in architecture reviews and collaborate with senior engineers and architects to align designs with platform standards

Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance through rigorous code reviews

Develop test strategies and write unit, integration, and functional tests to drive code quality and automation coverage

Participate in the team's on-call rotation to troubleshoot and resolve complex production issues in real-time

Collaborate with Product Managers, Architects, and cross-functional teams to deliver impactful features

Mentor junior engineers (MTS/AMTS) and contribute to a culture of continuous learning and engineering excellence

Required Skills

5+ years of software development experience with distributed systems and large-scale SaaS platforms

Strong programming skills in one or more:
Java, Python, Scala, Go, Node.js (Java strongly preferred)

Solid understanding of Mule Soft Anypoint Platform - Anypoint Studio, Data Weave, API Manager, Runtime Manager, MQ (experience or strong interest)

Strong fundamentals in REST/SOAP/GraphQL API design and microservices architecture

Experience with public cloud platforms - AWS, Azure, or GCP Solid SQL and No

SQL database skills (PostgreSQL, MongoDB, etc.)

Experience with CI/CD pipelines, Git, and Dev Ops practices Understanding of security fundamentals: OAuth 2.0, JWT, mTLS Strong problem-solving, debugging, and triage skills Excellent written and verbal communication skills

B.Tech / B.E. / M.S. in Computer Science or related field, or equivalent experience

Preferred / Nice to Have

Mule Soft certifications (Certified Developer L1/L2) or strong interest in getting certified

Experience with event-driven architectures (Kafka, Pub/Sub, Mule Soft MQ) Familiarity with Agentforce / AI-integrated workflows

Experience with Kubernetes/Docker and cloud-native infrastructure Prior experience on integration platforms or API gateway technologies Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

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