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# Full Stack Developer

- **Company:** Intone Networks
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, BigQuery, Cloud Storage, Code Review, Continuous Integration, Extract Transform Load (ETL), Distributed Systems, Apache Hadoop, Identity and Access Management, Cloudera, Systems Integration, Software Technical Review, Google Cloud, Spring Cloud, Apache Spark, Spring-boot, Event Driven Architecture, AngularJS, Kubernetes, Api Design, Restful APIs, Data Pipelines, Spring Batch, Docker, Microservices
- **Published:** May 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=971c26dff07c1bdc

## About the Role

Do you have experience in System design?, Key Responsibilities * Design and own end-to-end architecture for distributed, cloud-native applications * Translate business and technical requirements into scalable, secure, high-performance solutions * Lead architecture discussions, technical design reviews, and establish engineering best practices * Provide hands-on development support, perform code reviews, and solve complex technical challenges * Guide engineering teams in microservices, API design, and event-driven architectures * Architect and implement data pipelines using Google Cloud Dataproc; orchestrate workflows with Google Cloud Composer * Ensure seamless integration with Angular-based frontend applications ________________________________________ Required Skills & Experience * Strong proficiency in Java (8/11/17+), Spring Boot, REST APIs, microservices, and Spring Batch * Extensive experience with Google Cloud Platform (GKE, BigQuery, Cloud Storage, IAM) * Hands-on expertise with Dataproc (Spark/Hadoop) and
Composer (Airflow) * Solid experience developing and integrating Angular applications * Deep understanding of distributed systems, scalability, and system design principles * Experience with Docker, Kubernetes, and CI/CD pipelines * Strong knowledge of data modeling and ETL processes * Proven experience working with large-scale, data-intensive platforms



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