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Application Architect; Java Backend, Angular; Integration Backend), GCP

Job in Providence, Providence County, Rhode Island, 02912, USA
Listing for: Expedite Talent Solutions
Full Time position
Listed on 2026-05-31
Job specializations:
  • Software Development
    Cloud Engineer - Software, Backend Developer, Software Engineer, Software Architect
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Application Architect (Java Backend, Angular (Integration with Backend), GCP)

Role

Principal Engineer / Application Architect (Java Backend, Angular (Integration with Backend), GCP)

Location

Remote

Duration

Long-Term

Job Description

We are seeking a Principal Engineer / Application Architect to lead the design and development of scalable, cloud-native applications. This role combines hands‑on coding, system architecture, and technical leadership, with a focus on Java backend systems, Angular frontend integration, and solutions on Google Cloud Platform. This is a senior level position, and we need highly experienced candidates to be successful in this role.

Key Responsibilities
  • Design and own end‑to‑end system architecture for distributed applications
  • Translate requirements into scalable, secure, and high-performance solutions
  • Lead technical design reviews, architecture decisions, and best practices
  • Provide hands‑on development, code reviews, and solve complex engineering challenges
  • Guide teams on microservices, APIs, and event‑driven architectures
  • Architect data pipelines using Google Cloud Dataproc and orchestrate workflows with Google Cloud Composer
  • Ensure seamless integration with frontend applications built in Angular
Required Skills
  • Java (8/11/17+), Spring Boot, REST APIs, microservices, Spring Batch
  • Strong experience with GCP (GKE, Big Query, Cloud Storage, IAM)
  • Hands‑on with Dataproc (Spark/Hadoop) and Composer (Airflow)
  • Strong experience in Angular
  • Expertise in distributed systems, scalability, and system design
  • Experience with Docker, Kubernetes, CI/CD pipelines
  • Strong understanding of data modeling and ETL pipelines
  • Experience with large‑scale, data-intensive platforms
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