Amazon is seeking a Senior Systems Development Engineer to join their RME Automation team, focusing on maintaining and developing software solutions for one of the world's largest Reliability and Maintenance Engineering enterprises. This role combines traditional systems development with Industry 4.0 initiatives, connecting low-level automation systems with cloud infrastructure. The position involves working with cutting-edge technologies including Machine Learning and Big Data to implement predictive maintenance solutions and improve Overall Equipment Effectiveness across Amazon's vast fulfillment network.
The role requires a strong background in both software development and industrial automation, with expertise in modern programming languages and PLC platforms. The ideal candidate will be responsible for designing, developing, and deploying new software systems while maintaining existing infrastructure across AWS and field deployments. They will work within the Maintenance Automation Platform (MAP) Team, which is crucial in transforming machine-generated data into automated maintenance actions.
This is an excellent opportunity for a seasoned engineer who wants to impact global-scale operations while working with advanced technologies. The position offers the chance to work alongside top industry talent and shape the future of automation systems in one of the world's largest fulfillment networks. The role combines aspects of cloud computing, industrial automation, and machine learning, making it ideal for someone passionate about implementing Factory 4.0 solutions.
The successful candidate will be expected to think architecturally, maintain high quality standards, and drive continuous improvement through automation and technical innovation. They will need to balance immediate operational needs with long-term scalability considerations while working in a fast-paced environment. This position is perfect for someone who enjoys solving complex technical challenges and wants to make a significant impact on Amazon's global operations.