Controls Systems Engineer, Maintenance Automation Platform

Controls Systems Engineer, Maintenance Automation Platform

DESCRIPTION

Amazon is looking for a Sr. Controls Systems Engineer to support and maintain software solutions powering one of the world's largest Reliability, Maintenance Engineering (RME) enterprises. The RME Automation team supports the business through the integration and development of higher level software systems, realizing an Industry 4.0 vision for the function. At a basic level, these systems connect our low-level automation systems with the cloud, and we operate across all aspects of the automation pyramid, from the device level to the enterprise level. The more complex systems are leveraging Machine Learning and Big Data to drive predictive actions, preventing downtime or defects in the material handling equipment and improving the Overall Equipment Effectiveness of the installations.

This is a fantastic opportunity to work with some of the best engineers in the industry and help support and shape the direction of automation and machine learning systems within one of the world's largest fulfillment networks.

• You solve problems at their root, stepping back to understand the broader context.
• You are a significant and autonomous contributor.
• Your work is consistently of high quality. You solve complex problems, applying appropriate technologies and best practices.
• You maintain SLA's through the implementation of proactive issue detection and reporting.
• Your focus is on a major portion of existing or new team technology implementation (e.g., large or significant component, new enabling technology or process). You work with your team to ensure the highest level of support for the tools that the team owns.
• You consider the legacy of the systems you support, how they will scale, and limit the use of short-term workarounds.
• You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc.).
• You identify patterns that affect the performance, reliability, or availability of a product or service and drive them out of the system through automation or other technical innovation. You are an excellent diagnostician due to cross-domain understanding of the technology involved in your systems.
• Able to prioritize in complex, fast-paced environment.

Key job responsibilities
As a Controls Systems Engineer within the MAP team, the primary responsibilities include designing, developing, testing, and deploying new software, systems, infrastructure, hardware, networking or automation improvements, with a focus on MAP infrastructures deployed in Amazon Web Services (AWS) and in the field. The engineers think in terms of architecture, not just components or services. They play a crucial role in ensuring a seamless and efficient Factory 4.0 solution based in AWS services.

About the team
The Maintenance Automation Platform (MAP) Team plays a critical role in ensuring that machine-generated data leads to automated, appropriate, and effective proactive and/or predictive maintenance actions. Our objective is to mature and integrate core software tools into a unified Maintenance Automation Platform.

BASIC QUALIFICATIONS

• Bachelor degree in Computer Science or related technical field
• 3+ years of programming with at least one modern language such as Java, Python.
• 3+ years of programming with PLC platforms, ( Rockwell, Siemens,etc.) IEC 61131-3
• 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• 2+ years of systems development in an IT or data center environment experience
• 2+ years of systems design, software development, operations, automation, and process improvement experience
• Experience building tools for building, testing, releasing or monitoring

PREFERRED QUALIFICATIONS

• Master degree in Computer Science or related technical field
• Experience working in an Agile environment using the Scrum methodology
• Experience with distributed systems at scale
• Knowledge of database systems and SQL

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