Designs, develops, deploys, and operates enterprise integrations using the MuleSoft Anypoint Platform. Responsibilities include API design, Mule flow development, DataWeave transformation, deployment, observability, troubleshooting, security, CI/CD, and ongoing optimization. The engineer partners with architects and cross-functional teams, integrates SaaS platforms, creates reusable API assets, participates in design and code reviews, and mentors junior engineers.
MuleSoft Integration Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: MuleSoft Integration Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$120,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an experienced MuleSoft Integration Engineer to design, build, and operate enterprise integration solutions on the MuleSoft Anypoint Platform. In this role you will own the integration lifecycle, including API design, flow development, deployment, observability, and ongoing optimization. The ideal candidate will combine deep hands-on MuleSoft experience with strong API-led connectivity practices, and will partner with enterprise architects, application teams, and integration partners to deliver reliable, secure, and reusable integration assets. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Required Qualifications
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected]
Bright Vision Technologies is an Equal Opportunity Employer.
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: MuleSoft Integration Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$120,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an experienced MuleSoft Integration Engineer to design, build, and operate enterprise integration solutions on the MuleSoft Anypoint Platform. In this role you will own the integration lifecycle, including API design, flow development, deployment, observability, and ongoing optimization. The ideal candidate will combine deep hands-on MuleSoft experience with strong API-led connectivity practices, and will partner with enterprise architects, application teams, and integration partners to deliver reliable, secure, and reusable integration assets. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
- Five or more years of integration experience with strong focus on MuleSoft Anypoint Platform.
- Strong hands-on experience with Anypoint Studio, DataWeave, and Mule runtime.
- Solid understanding of API-led connectivity and RAML/OAS API design.
- Hands-on experience with CloudHub, Runtime Fabric, or Hybrid deployment.
- Experience with API security standards (OAuth2, mTLS, JWT) and Anypoint API Manager.
- Working knowledge of CI/CD for MuleSoft.
- Familiarity with event-driven integration using Anypoint MQ or Kafka.
- Excellent troubleshooting, communication, and documentation skills.
- Experience integrating with major SaaS platforms (Salesforce, SAP, Workday, ServiceNow).
- MuleSoft Certified Developer or Architect credentials.
- Exposure to multi-cloud deployment of Mule runtimes.
- Familiarity with FinOps and integration cost management.
- Experience implementing zero-trust API security models.
- Working knowledge of GraphQL APIs on Anypoint Platform.
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected]
Bright Vision Technologies is an Equal Opportunity Employer.
Similar Jobs
Fintech • Payments • Software • Financial Services
Lead commercialization of emerging AI products by securing enterprise customers and strategic partners, structuring pilots, and converting them into scaled relationships. Own engagements from prospecting and negotiation through launch and optimization, while partnering with Product and Engineering to shape product strategy, pricing, implementation, and go-to-market models.
Top Skills:
AICloud InfrastructureData InfrastructureDeveloper Platforms
Fintech • Payments • Software • Financial Services
Own commercialization of Block’s emerging AI products from early pilots through scaled enterprise adoption. Develop market strategy, positioning, pricing, partnerships, and routes to market; personally secure lighthouse enterprise customers and strategic partners; design pilots that convert to production relationships; establish repeatable GTM, sales, implementation, and expansion processes; and build the commercial organization as product-market fit develops. Partner closely with Product and Engineering while shaping an emerging AI business.
Top Skills:
AICloud InfrastructureData InfrastructureDeveloper Platforms
Fintech • Payments • Financial Services
Own the vision, strategy, and execution of Adyen’s AI assistant for merchants. Define agentic capabilities, safety standards, and quality metrics; ship customer-facing functionality; enable product teams to contribute capabilities; and lead cross-functional collaboration across product, design, engineering, analytics, commercial, marketing, and legal. Use customer research and data to drive adoption, business impact, and simpler experiences across complex payment operations.
Top Skills:
Agentic AiAIAnalyticsConversational AiLlmWorkflow Automation
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
