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# Platform Software Engineer Google Cloud Platform & Data Platforms

- **Company:** HTC Global Services, Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Batch Processing, BigQuery, Cloud Computing, Continuous Integration, Data Governance, Data Infrastructure, Data Flow Control, Python (Programming Language), Node.Js, NoSQL, Systems Development Life Cycle, Cloud Services, Cloudera, Software Engineering, System Software, Enterprise Data Management, Google Cloud, Data Ingestion, ReactJS, Software Troubleshooting, Git, Google Cloud Functions, Apache Kafka, Data Management, Video Streaming, Restful APIs, Terraform, Data Pipelines, Apache Beam, Microservices
- **Published:** June 2, 2026
- **Apply:** https://www.dice.com/job-detail/45c92047-becf-44a7-aa0f-764aaa286331

## About the Role

We are seeking a Platform Software Engineer with expertise in Java or Python and strong experience with Google Cloud Platform (Google Cloud Platform) to design, develop, and manage scalable applications and enterprise data platform solutions. The ideal candidate will have experience building microservices, data pipelines, REST APIs, and cloud-native solutions in a collaborative engineering environment., * Bachelor s Degree

 * 5+ years of software development experience using Java or Python
 * 3+ years of experience with Google Cloud Platform, including BigQuery, Dataflow, and Dataproc
 * 3+ years of experience building microservices and REST APIs
 * 2+ years of experience with data pipelines and streaming technologies such as Apache Beam and Kafka
 * Experience with full-stack development using React, Node.js, or similar technologies
 * Hands-on experience with CI/CD pipelines, Terraform, and cloud deployments
 * Strong experience with relational and NoSQL databases
 * Experience with Git and SDLC best practices
 * Strong troubleshooting, analytical, and problem-solving skills

#LI-Onsite #LI-AA1

## Description

* Design, develop, and maintain scalable data pipelines and microservices supporting real-time and batch processing on Google Cloud Platform
 * Build and implement service-oriented and microservices-based architectures
 * Contribute to full-stack integration across front-end and back-end components
 * Lead data ingestion and integration from multiple data sources into enterprise data platforms
 * Utilize Google Cloud Platform services such as BigQuery, Dataflow, Pub/Sub, and Cloud Functions to support data platform solutions
 * Implement data governance, access controls, and security best practices
 * Monitor and optimize performance, scalability, and efficiency of data pipelines and storage solutions
 * Collaborate with architects, engineers, and cross-functional teams to establish engineering best practices and frameworks
 * Automate platform processes to improve reliability and operational efficiency
 * Design and develop RESTful APIs for seamless service integration
 * Support testing, deployment, and production releases following SDLC best practices


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