Role: Java Backend Engineer
Location Alpharetta GA
Job Description
A Java GCP Backend Engineer develops deploys and maintains scalable server-side applications and microservices using Java/Spring Boot on Google Cloud Platform. They focus on API design cloud-native architecture (Cloud Run/GKE) database management (SQL/NoSQL/BigQuery) and CI/CD creating secure high-performance distributed systems
Key Responsibilities
- Backend Development: Build microservices and REST APIs using Java Spring Boot and potentially Python or Go.
- GCP Cloud Services: Deploy and manage services on GCP using tools like Google Kubernetes Engine (GKE) Cloud Run Pub/Sub Dataflow and BigQuery.
- Database Management: Design and maintain relational (MySQL PostgreSQL) and NoSQL databases.
- CICD & DevOps: Implement CI/CD pipelines containerization (Docker Kubernetes) and Infrastructure as Code (Terraform).
- Data Processing: Design and manage large-scale data pipelines and ETL processes.
Role: Java Backend Engineer Location Alpharetta GA Job Description A Java GCP Backend Engineer develops deploys and maintains scalable server-side applications and microservices using Java/Spring Boot on Google Cloud Platform. They focus on API design cloud-native architecture (Cloud Run/GK...
Role: Java Backend Engineer
Location Alpharetta GA
Job Description
A Java GCP Backend Engineer develops deploys and maintains scalable server-side applications and microservices using Java/Spring Boot on Google Cloud Platform. They focus on API design cloud-native architecture (Cloud Run/GKE) database management (SQL/NoSQL/BigQuery) and CI/CD creating secure high-performance distributed systems
Key Responsibilities
- Backend Development: Build microservices and REST APIs using Java Spring Boot and potentially Python or Go.
- GCP Cloud Services: Deploy and manage services on GCP using tools like Google Kubernetes Engine (GKE) Cloud Run Pub/Sub Dataflow and BigQuery.
- Database Management: Design and maintain relational (MySQL PostgreSQL) and NoSQL databases.
- CICD & DevOps: Implement CI/CD pipelines containerization (Docker Kubernetes) and Infrastructure as Code (Terraform).
- Data Processing: Design and manage large-scale data pipelines and ETL processes.
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