Senior Java Developer - Spring Boot Microservices & Azure Cloud

Talent Software Services, Inc.

  • Pleasanton, CA
  • 5 days ago
  • $53–$54.54 Per Hour

Highlights

Desirable Skills: Azure Data Factory, Databricks, Azure Synapse Analytics, Python, SQL, PySpark. Develop and maintain cloud-native applications using Java, Spring Boot, and microservices.

Numbers & Facts

LocationPleasanton, CA
Salary$53–$54.54 Per Hour

Description

  • Location: Pleasanton, CA

  • Duration: 6 months

  • Experience Required: 10+ years

  • Primary Skills: Microsoft Azure, Microservices, Spring Boot

  • Desirable Skills: Azure Data Factory, Databricks, Azure Synapse Analytics, Python, SQL, PySpark

Essential Skills

  • Strong experience in Java 8/11/17 or later.

  • Extensive hands-on experience with Spring Boot.

  • Strong understanding of Microservices Architecture.

  • Experience developing and consuming RESTful APIs.

  • Strong expertise in Microsoft Azure Cloud.

  • Experience with Azure Kubernetes Service (AKS).

  • Hands-on experience with Docker and containerization.

  • Experience creating and maintaining CI/CD pipelines using GitHub Actions.

  • Experience with Azure Cosmos DB.

  • Knowledge of Git version control.

  • Understanding of cloud security, scalability, monitoring, and performance optimization.

Key Responsibilities

  • Design, develop, and maintain enterprise-grade applications using Java and Spring Boot.

  • Build and implement scalable microservices-based architectures.

  • Develop RESTful APIs and integrate internal and external systems.

  • Deploy, manage, and monitor cloud-native applications on Microsoft Azure.

  • Containerize applications using Docker.

  • Deploy and orchestrate applications using Azure Kubernetes Service (AKS).

  • Design, implement, and maintain CI/CD pipelines using GitHub Actions.

  • Work with Azure Cosmos DB for data storage, retrieval, and performance optimization.

  • Collaborate with Business Analysts, QA, DevOps, and Product Owners.

  • Troubleshoot production issues and provide timely resolutions.

  • Follow best practices for code quality, security, scalability, and performance.

Desirable Skills

  • Azure Data Factory.

  • Azure Databricks.

  • Azure Synapse Analytics.

  • Python programming.

  • SQL.

  • PySpark.

  • Databricks data engineering.

Role Summary

  • Develop and maintain cloud-native applications using Java, Spring Boot, and microservices.

  • Build, deploy, and manage applications on Microsoft Azure.

  • Implement containerization and CI/CD automation.

  • Ensure application reliability, security, scalability, and performance.

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