John Deere pairs a classic manufacturing engineering stack (Pro/ENGINEER, SolidWorks, Siemens TIA Portal) with a deep SAP footprint spanning S/4HANA, Fiori, BTP and ABAP. Cloud work on AWS, Kubernetes, Terraform and AWS Database Migration Service lines up with an active push to move legacy Db2 workloads to AWS. Accelerating, engineering-heavy hiring with a notable finance contingent points to parallel product and back-office modernization.
Notable leadership hires: Head of Governance
John Deere is a public machinery manufacturer founded in 1837 and headquartered in Moline, Illinois. It builds equipment for agriculture, construction, forestry, turf care and golf, alongside power systems and technology offerings. The company employs more than 10,000 people and hires across the United States, Germany, Brazil, Poland, Luxembourg, Sweden and Australia. Its work spans mechanical and electrical design, embedded controls, manufacturing operations, logistics and enterprise finance systems.
John Deere uses Pro/ENGINEER, SolidWorks and AutoCAD for design, Siemens Step 7 and TIA Portal for controls, SAP S/4HANA and BTP for ERP, and AWS, Kubernetes, Terraform, Python, Java and React for software.
Yes. Job posts cite migrating legacy Db2 databases to AWS and modernizing the application stack, supported by AWS RDS, PostgreSQL, AWS Database Migration Service, Terraform and Flyway.
John Deere hires in the United States, Germany, Brazil, Poland, Luxembourg, Sweden and Australia, with engineering the dominant function alongside finance, product and logistics roles.
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John Deere's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
