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Application Architect (Java Backend, Angular (Integration with Backend), GCP)

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Onsite

Application Architect (Java Backend, Angular (Integration with Backend), GCP)

Expedite Talent Solutions

Application Architect (Java Backend, Angular (Integration with Backend), GCP)

Skills

Google Cloud PlatformDockerJavaMicroservicesSpring BootKubernetesApache AirflowHadoop

6 months ago

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Important information


Contract type:

Permanent

Location:

South Padre Island, TX, USA

Work mode:

Onsite

Published on:

10 August 2026

What they need


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, BigQuery, 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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