Manager, Smart Factory Solutions

Job Responsibilities

• Develop and implement modern smart factory solutions that connect legacy manufacturing equipment to scalable digital infrastructure.
• Design, deploy, and maintain Industrial IoT (IIoT) applications operating both on-premises and in cloud environments.
• Build and manage cloud-native infrastructure using Infrastructure as Code (IaC) methodologies, including Terraform.
• Develop and support AWS-based solutions for leveraging services such as AWS IoT, AWS Lambda, AWS Bedrock, and AgentCore for AI-driven manufacturing and operational use cases.
• Develop and implement AI-enabled workflows, intelligent agents, and automation solutions to improve operational efficiency and decision-making.
• Manage software deployments, system updates, patches, and release processes across production and development environments.
• Collaborate with cross-functional teams to brainstorm, architect, and implement innovative Industry 4.0 solutions.
• Develop KPIs, dashboards, metrics, and monitoring tools to track smart factory and production performance.
• Provide detailed technical specifications for proposed solutions, including required hardware, software, cloud services, external vendors, and internal resources.
• Work with source control and CI/CD tools such as Azure DevOps and GitHub.
• Actively troubleshoot and resolve issues encountered during development, testing, deployment, and production operations.
• Participate in Agile software development processes, including sprint planning, backlog refinement, and stand-ups using tools such as Jira.
• Maintain technical documentation, architecture diagrams, operational procedures, and project artifacts using Confluence and related documentation platforms.
• Perform additional duties as assigned.

Qualifications

• Strong experience designing and implementing smart factory, Industrial IoT (IIoT), and cloud-connected manufacturing solutions.
• Hands-on experience with Amazon Web Services (AWS), including cloud architecture, deployment, and operational management.
• Experience developing AI and generative AI solutions using AWS Bedrock and AgentCore.
• Proficiency in modern programming languages such as Go (Golang), TypeScript, Python, JavaScript, C#, Java, and/or C#.
• Experience developing scalable APIs, backend services, and distributed applications.
• Strong understanding of cloud-native architectures, containerization, and microservices principles.
• Experience with databases and multiple forms of data storage technologies (SQL, NoSQL, time-series, and cloud-native storage platforms).
• Good understanding of IoT architectures, cybersecurity principles, and communication protocols such as MQTT.
• Experience with DevOps practices, CI/CD pipelines, source control systems, and automated deployment strategies.
• Knowledge of Agile and traditional project management methodologies including Agile/Scrum and Waterfall.
• Experience using Agile collaboration and tracking tools such as Jira.
• Experience maintaining technical and operational documentation using Confluence or similar platforms.
• Understanding statistical analysis and manufacturing performance metrics.

Preferred Qualifications

• Experience with capability studies such as CPK, Gage R, and Gage R&R is considered an asset.

What We Offer

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Benefits

In addition, we offer you the following site benefits:

• An overview of our benefits will be discussed during the recruitment process.
• Awareness. Unity. Empowerment.

Equal Opportunity Employer

We hire based on experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Data Privacy

Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies. Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making. If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.