Senior Integration Engineer
Summary
Design and implement scalable B2B integration solutions for Apple’s eBusiness Services using middleware like MuleSoft and Apache Camel, focusing on supply chain and finance domains.
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just build products — they craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
Apple eBusiness Services team is seeking an outstanding B2B Integration Software Engineer to implement innovative and scalable integration solutions. This is an excellent opportunity for a self motivated, enthusiastic, result oriented person to provide solutions using various integration technology stacks.
Minimum Qualifications
- BS degree in computer science or equivalent field.
- Minimum of 5+ years of experience in integration technologies.
- Strong expertise in Supply Chain and finance domain with hands on experience designing and implementing large projects.
- Knowledge and experience in Apache Camel based integrations.
- Knowledge and experience in middleware technologies like SoftwareAG/IBM webMethods, MuleSoft
- Knowledge and experience in Java or Python for building middleware or backend application
Preferred Qualifications
- Hands on experience in working with industry standards like EDI X12, XML, JSON and API’s.
- Experience in handling sensitive customer data like PII, SSN and other sensitive PCI and SOX data
- Deep understanding of different partner types in the Supply chain domain and their business processes
- Proven ability to manage projects with on-time delivery.
- Demonstrated capability to look beyond the curve and add value to business teams.
- Familiarity and implementation knowledge of cloud technologies.
- Insight & creativity to see around corners and to design systems in order to mitigate future risk AI / ML implementation experience is a plus.