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Google Cloud Platform Full Stack Engineer/Remote

Remote • Posted 1 hour ago • Updated 1 hour ago

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Remote

Depends on Experience

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Google Cloud Platform Full Stack Engineer

Summary

Job Description-Google Cloud Platform Full Stack Engineer

Location-Remote

Job Summary

We are looking for a Google Cloud Platform Full Stack Engineer to design, develop, and maintain scalable cloud-based applications. The candidate will work across frontend, backend, and cloud infrastructure while leveraging Google Cloud Platform services to build secure, high-performance applications.

Key Responsibilities

Design and develop full stack applications using modern frontend and backend technologies.
Build and deploy cloud-native applications on Google Cloud Platform (Google Cloud Platform).
Develop RESTful APIs, microservices, and backend integrations.
Create responsive and user-friendly frontend interfaces.
Manage cloud services such as Compute Engine, Cloud Run, GKE, BigQuery, and Cloud Storage.
Implement CI/CD pipelines, monitoring, and automation processes.
Optimize application performance, scalability, and security.
Collaborate with cross-functional teams including DevOps, QA, and product teams.
Troubleshoot and resolve production and application issues.

Required Skills

Strong experience in frontend technologies such as React, Angular, or Vue.js.
Proficiency in backend development using Java, Python, Node.js, or similar technologies.
Hands-on experience with Google Cloud Platform (Google Cloud Platform) services.
Knowledge of REST APIs, microservices, and distributed systems.
Experience with SQL/NoSQL databases.
Familiarity with Docker, Kubernetes, and CI/CD tools.
Good understanding of Agile and DevOps practices.
Strong analytical and problem-solving skills.

Preferred Qualifications

Bachelor’s degree in Computer Science, IT, or related field.
Google Cloud Platform certification is a plus.

Nice to Have

Experience with Terraform or Infrastructure as Code (IaC).
Knowledge of serverless architecture and event-driven systems.
Exposure to monitoring tools like Prometheus, Grafana, or Stackdriver.
Experience with data engineering or AI/ML integrations on Google Cloud Platform.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10513292
Position Id: 72483-12895-
Posted 1 hour ago

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