As a Remote Integration Platform Engineer, you will design, build, and manage robust integrations that connect systems, data sources, and applications across a complex enterprise ecosystem. You'll be responsible for maintaining scalable and secure integration platforms (e.g., MuleSoft, Boomi, Workato, SnapLogic, or custom APIs) and ensuring data flows efficiently between internal and external systems. This role requires deep technical skills, strategic thinking, and cross-functional collaboration with business, infrastructure, security, and development teams. You will play a key part in building the backbone of digital transformation and real-time connectivity across business-critical systems. Responsibilities: Design, implement, and maintain integrations across SaaS platforms, legacy systems, databases, APIs, and cloud environments Develop and manage integration workflows using iPaaS tools (e.g., MuleSoft, Boomi, SnapLogic, Workato) or custom code Monitor integration performance, perform root cause analysis, and resolve issues in real time Collaborate with software engineering and DevOps teams to deploy and manage integrations in CI/CD pipelines Implement data mapping, transformation logic, error handling, retries, and logging mechanisms Ensure integration solutions are secure, scalable, and compliant with organizational and regulatory policies Document integration designs, best practices, and operational procedures Participate in technical reviews, capacity planning, and architecture design Qualifications: Bachelor's degree in Computer Science, Information Systems, or related field 2+ years of experience in systems integration, middleware, or iPaaS development Proficiency in one or more integration platforms (e.g., MuleSoft, Boomi, Workato, SnapLogic, Azure Logic Apps) Strong knowledge of REST/SOAP APIs, webhooks, authentication protocols (OAuth2, SAML, JWT) Experience with JSON, XML, and data transformation techniques Strong debugging and performance tuning skills Familiarity with cloud services (AWS, Azure, or GCP) and containerized deployments (Docker, Kubernetes)