Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer – Manufacturing Digital Operations (Python/React/Automotive): Building production-grade full-stack applications, APIs, integrations, and data solutions that improve manufacturing plant operations with an accent on scalability, reliability, and operational visibility. Focus on designing distributed systems, resolving complex production issues, supporting critical incidents, and delivering software across GM's global manufacturing network.
Location: Warren, Michigan; onsite at the Warren Tech Center on a full-time basis.
Company
hirify.global develops automotive products and is transforming manufacturing operations through digital platforms and software.
What you will do
Design, develop, test, deploy, and support production-grade full-stack applications for manufacturing operations and business-critical workflows.
Translate business and technical requirements into scalable solutions from concept through production.
Build and maintain user interfaces, REST APIs, integrations, relational database solutions, and data platforms.
Lead or contribute to technical design, architecture, code reviews, engineering standards, and best practices.
Troubleshoot complex production issues, support deployments and releases, and improve performance, reliability, maintainability, security, and user experience.
Partner with manufacturing, product, software, and business teams; provide technical guidance and mentor engineers at the L7 level.
Requirements
L7: 5+ years of experience developing and supporting production software applications; L6: 2+ years of experience developing and supporting software applications.
Hands-on experience with Python and React for L7; experience with Python, React, or similar modern frameworks for L6.
Experience with REST APIs, integrations, and relational databases such as PostgreSQL; L7 candidates must also have experience with distributed systems, data modeling, query development, and performance optimization.
Experience using GitHub, Azure DevOps, Jira, or similar software development lifecycle tools.
Experience testing, deploying, monitoring, or supporting applications in development, test, or enterprise production environments.
Strong problem-solving skills and the ability to troubleshoot technical issues across multiple application layers.
Experience collaborating with technical and non-technical stakeholders in a team environment.
Hands-on experience using AI-assisted development tools to improve productivity and code quality.
Comfort operating in evolving environments with changing priorities and incomplete requirements.
L7 candidates must have experience mentoring junior engineers and providing technical guidance.
Nice to have
Experience building cloud-native applications with Azure, AWS, or Google Cloud Platform.
Experience with Docker and Kubernetes.
Understanding of software architecture, object-oriented design, data structures, algorithms, and system design principles.
Experience designing intuitive user experiences and business-focused applications.
Experience supporting manufacturing, operations, industrial, or enterprise software platforms.
Experience with monitoring, observability, production support, and integrations across enterprise and operational systems.
Experience leveraging AI-assisted development workflows.
Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or equivalent practical experience.
Culture & Benefits
Onsite work at the Warren Tech Center is required on a full-time basis.
Relocation benefits are available for candidates who qualify under company policy.
After-hours support for critical production incidents may be required.
Employment includes GM total rewards and benefits designed to support employee well-being.
GM promotes an inclusive workplace and equal employment opportunity.
Hiring process
Applicants may be required to complete role-related assessments and/or pre-employment screening where applicable.
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