Amazon is seeking a Systems Development Engineer to join their Maintenance Automation Platform (MAP) team, focusing on supporting and maintaining software solutions for one of the world's largest Reliability Maintenance Engineering (RME) enterprises. This role sits at the intersection of automation, cloud computing, and machine learning, working to realize an Industry 4.0 vision for maintenance operations.
The position involves working with cutting-edge systems that bridge low-level automation with cloud infrastructure, implementing machine learning solutions to prevent equipment downtime and improve overall effectiveness. You'll be part of a team that's pushing the boundaries of predictive maintenance and automation within Amazon's vast fulfillment network.
As a Systems Development Engineer, you'll be responsible for designing, developing, and deploying new software, systems, and automation improvements, with a particular focus on AWS infrastructure. The role requires a strong background in software development, systems architecture, and operations, combining technical expertise with practical problem-solving skills.
Key aspects of the role include maintaining service level agreements through proactive monitoring, implementing scalable solutions, and working with various technologies across the automation pyramid. You'll need to balance immediate operational needs with long-term architectural considerations, ensuring systems are both reliable and maintainable.
The MAP team plays a crucial role in transforming machine-generated data into automated, effective maintenance actions. You'll be working alongside some of the industry's best engineers, helping to shape the future of automated maintenance systems at a global scale. This position offers excellent growth opportunities and the chance to work with advanced technologies while solving complex, real-world problems.
Benefits include comprehensive medical, dental, and vision coverage, parental leave options, PTO, and a 401(k) plan. The role offers competitive compensation based on location and experience, with additional benefits such as equity and sign-on payments available as part of the total compensation package.
This is an excellent opportunity for someone who enjoys working with complex systems, has a passion for automation and machine learning, and wants to make a significant impact on one of the world's largest logistics operations. The role combines hands-on technical work with strategic thinking, requiring someone who can both implement solutions and contribute to the broader technical vision of the team.