Mercedes-Benz USA is looking to design, build, and optimize cloud-first integration solutions that enable automation, AI-driven insights, and intelligent data orchestration.
Requirements
- Hands-on experience with integration platforms and tools such as IBM Integration Bus, Boomi, MuleSoft, Kong, WebSphere MQ/ESB, Apache Kafka, AWS API Gateway, and Azure API Management.
- Proficiency in Java, JavaScript, and Node.js, and familiarity with frameworks such as Spring, Hibernate, JEE, and JMS.
- Solid understanding of data formats (JSON, XML, CSV, YAML, EDI) and databases (DB2, Oracle).
- Hands-on experience with cloud observability (logs, metrics, tracing), API governance, and security best practices.
- Knowledge of AI/ML technologies, process optimization, cost efficiency, and IT risk management principles.
- Experience with microservices, SOA, event-driven, and cloud architecture.
- 8+ years of hands-on experience in API management, API design and implementation, enterprise systems integration using APIs, middleware development
Responsibilities
- Design, develop, and implement robust cloud-native integration solutions and APIs that align with enterprise standards and best practices for performance, security, and observability.
- Apply expertise in integration patterns (synchronous/asynchronous/event-driven) – leveraging technologies such as Apache Kafka - such as to build scalable, cloud-ready, and maintainable systems.
- Collaborate with cross-functional teams to monitor system health, troubleshoot issues, and manage incidents, upgrades, and support; coordinate and work with external vendors to ensure delivery, quality, compliance, and observability.
- Execute digital modernization efforts, including API delivery, middleware migration to cloud platforms, and the integration of AI/ML capabilities for smarter, adaptive, and more automated workflows.
- Implement and maintain observability and monitoring solutions (logs, metrics, tracing) to track integration performance, and reliability across hybrid and multi-cloud environments.
- Collaborate with EA, application architects and product teams to ensure alignment between business requirements, AI-enabled insights, technical design, and cloud platform capabilities.
- Evaluate and recommend technologies across APIs, messaging, Kafka, ESB, iPaaS, and cloud integration platforms to support modernization, automation, and innovation initiatives.
Other
- Bachelor’s degree in computer science, Information Systems, or related field.
- Must be able to work flexible hours/work schedule.
- Work Holidays when required; Work weekends when required.
- Travel domestically and internationally when required.
- No Sponsorship / Visa Transfer available.
