Warehouse Automation Manager, Engineering
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Global Engineering Services - International is seeking an experienced Automation Manager to lead the design, deployment, and scaling of automation solutions across Amazon's fulfilment and logistics network. This role offers a unique opportunity to drive large-scale automation programs that directly impact operational efficiency, safety, and customer experience across India's fulfilment center's (FCs), sort center's (SCs), and delivery stations.
Key job responsibilities
. Lead end-to-end automation program delivery - from feasibility assessment and business case development through commissioning and operational handover
. Define and own the automation roadmap for assigned sites and business lines, driving progressive penetration targets across the IN network
. Evaluate technical feasibility and vendor solution availability for automation opportunities across FCs, SCs, and delivery stations
. Partner with Ops Tech, WHS, RME, and site operations teams to ensure seamless integration of automation solutions into existing infrastructure
. Develop ROI models, payback analyses, and capital investment plans to support automation business cases
. Manage and develop a team of engineers and program managers, fostering a culture of continuous improvement and innovation
. Communicate program status, risks, and outcomes to senior leadership serve as the single point of contact for automation engineering across assigned networks
. Drive continuous improvement initiatives to enhance system reliability, throughput, safety, and cost efficiency
. Support the development of Amazon's low-cost automation and frugal innovation initiatives
About the team
Our team provides end-to-end engineering services to Amazon's fulfilment and logistics network, building and deploying innovative automation and next-generation technology solutions. We operate across FCs, SCs, and last-mile delivery stations, with a mandate to drive automation penetration, frugal innovation, and self-sustainability for the domestic market and beyond.
- Experience in engineering including a supervisory role managing people
- Bachelor's degree
- Experience in a fast-paced, automated, industrial, logistics, production or manufacturing environment
- Experience in preventative maintenance systems
- Experience of automated equipment including packaging machinery, sortation and conveyor systems
- Knowledge of automation control system logic, mechanism and protocol
- Knowledge of software interface and business logic between control system and management system
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Job ID: 152490871
Skills:
warehouse automation , Statistical Analysis, Conveyor Systems, Equipment Specification, Material Flow Process Design, Packaging Machinery, Preventative Maintenance Systems, Value Stream Mapping
Skills:
data compression , Distributed Computing, Software Development, Technical Leadership, Natural Language Processing, Information Retrieval, Networking, Artificial Intelligence, User Interface Design, implementing storage solutions, People Management, cloud environments, Security, Team Leadership, large-scale system design
Skills:
MECM, PowerShell, Intune, Bash, Windows, Automation Frameworks, Macos, SCCM, Python, endpoint analytics and telemetry platforms, JAMF, Nexthink, proactive remediation solutions
Skills:
lean methodology , Operational Health and Safety Management, Sap Erp, Material Flow Design and Methodology, IoT Solutions, Continuous Improvement, AGV Automation, Manufacturing Process Optimization, Barcode RFID Systems, WMS Warehouse Management System, Digital Literacy, Mes
Skills:
automation solutions, automated equipment, payback analyses, capital investment plans, ROI models, conveyor systems, Continuous Improvement, Packaging Machinery, Root Cause Analysis
