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The Data Engineering Manager within the EDAI organization at General Motors is a remote-based leadership role responsible for overseeing the design, development, and maintenance of scalable data infrastructure. The role empowers advanced analytics, experimentation, and machine learning by ensuring robust data platforms for data scientists, analysts, and marketing teams. Candidates residing within 50 miles of designated offices are expected to report onsite at least three times weekly. This position emphasizes operational excellence, collaboration across multidisciplinary teams, and the fostering of an inclusive and innovative engineering culture.
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Facilitate enterprise adoption of Ubuntu Pro
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Enable partner adoption of Canonical’s open source technologies.
Architect and integrate cloud and data center solutions.
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Build and productionize advanced AI systems
Develop scalable LLM-powered applications and agents
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Deliver cross-platform product experiences
Drive innovation and implement new technologies
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Architect scalable and secure Webflow solutions.
Integrate emerging technologies into digital projects.
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Lead innovative full stack development
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Hire a remote product engineer
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Hire a remote Systems Administrator
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Leverage cloud and IaC technologies
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Provide technical leadership and guidance
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Promote flexible remote work culture
Support inclusive and diverse workplace
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Develop scalable, AI-driven HR applications
Collaborate across teams and departments
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Lead vulnerability and patch management programs
Drive automation and operational excellence
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Build and deploy scalable AI systems for production use.
Develop advanced multi-agent architectures and conversational AI.
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Design scalable and secure credit lifecycle services
Lead technical strategy and architecture
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Drive technical evolution of SaaS cloud platform
Lead and mentor engineering teams
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Optimize and maintain real-time financial infrastructure.
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Automate deployments and streamline CI/CD workflows.
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Hire experienced reliability engineer
Support remote work flexibility
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Design and implement secure cloud network architectures
Optimize network performance, scalability, and reliability
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Lead India Product Engineering team
Drive tool development and automation
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Lead technical design and execution of cloud SaaS platform
Collaborate with cross-functional teams to deliver features
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Design and implement IGA integrations
Develop and present integration frameworks
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Deliver enterprise data platform solutions
Administer and optimize big data environments
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Develop and maintain wallet transaction APIs using Golang and AWS
Lead squads in technical decision-making and system design
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Design and deliver scalable, secure, and reliable payment solutions.
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Lead design and optimization of scalable platform infrastructure
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Lead India Product Engineering team
Ensure cloud platform security and compliance
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Design and implement scalable data architectures
Lead and mentor engineering teams
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Develop and maintain scalable payment authorization microservices.
Lead technical decisions and mentor engineering teams.
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Lead technical delivery and team management in India.
Oversee multi-cloud architecture, automation, and operations.
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Design and implement scalable cloud-native data platforms
Optimize and automate data platform performance
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Hire experienced backend engineer
Develop scalable platform and APIs
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Lead and scale remote engineering teams
Develop and implement engineering strategy
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Design and implement scalable data solutions
Lead and mentor engineering teams
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Lead full stack development of early stage products
Champion high engineering standards and best practices
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Lead cross-functional AI engineering team
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Lead and mentor technical teams remotely
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Develop and execute end-to-end security strategy.
Safeguard digital and physical assets across all domains.
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Develop scalable backend systems
Integrate unified data event platform
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Lead advanced full-stack development
Optimize system and code performance
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Develop and maintain full stack applications
Optimize system performance and scalability
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Develop scalable and secure backend systems
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Design and maintain scalable data pipelines
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Design and deliver scalable, secure distributed systems.
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