5 дней назад
Full Stack Software Engineer (GCP)
85 400 - 192 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Full Stack Software Engineer (GCP): Building and deploying full-stack analytic applications and cloud-native services for smart mobility with an accent on Java, Python, GCP, microservices, data engineering, and machine learning. Focus on designing scalable infrastructure, developing APIs and internal tools, integrating Vertex AI solutions, and maintaining reliable production systems.
Location: Dearborn, Michigan, United States. Hybrid role with onsite work required four or more days per week. Candidates must be legally authorized to work in the United States.
Salary: $85,400–$192,900 per year.
Company
Motor Company develops automotive products and smart mobility solutions, supported by global data, insight, and analytics capabilities.
What you will do
- Define, design, develop, test, deploy, support, and maintain full-stack applications and cloud-native services.
- Build REST microservices, user interfaces, APIs, internal frameworks, and developer tools.
- Design and optimize scalable cloud infrastructure using Google Cloud Platform, Terraform, containers, and Kubernetes.
- Create proof-of-concepts and integrate systems and business processes to deliver analytic solutions.
- Collaborate with product managers, product designers, product owners, data scientists, and software engineers on product direction and delivery.
- Conduct design and code reviews, provide technical leadership, and mentor junior team members.
Requirements
- At least 5 years of software engineering experience.
- Bachelor’s degree in computer science, computer engineering, or equivalent education and experience.
- At least 3 years of experience developing for and deploying to cloud platforms.
- Experience with Java, Python, SQL, test-driven development, REST-style microservices, and JavaScript UI frameworks such as Angular, React, or Vue.
- Experience with GCP services, Terraform, CI/CD, containers, monitoring, DevSecOps, data engineering, and machine learning operations.
- Legal authorization to work in the United States is required; visa sponsorship is not available.
Culture & Benefits
- Collaborative work with product, engineering, analytics, and data science teams.
- Medical, dental, vision, prescription drug, and family care benefits.
- Paid parental leave, family-building benefits, and subsidized backup childcare.
- Vehicle discounts, management leases, tuition assistance, paid holidays, and paid time off.
- Employee resource groups and paid time off for community service.
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