What are the responsibilities and job description for the Application Architect (Java Backend, Angular (Integration with Backend), Google Cloud Platform) position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Expedite Technology Solutions, is seeking the following. Apply via Dice today!
Role: Principal Engineer / Application Architect (Java Backend, Angular (Integration with Backend), Google Cloud Platform)
Location: Remote
Duration: Long-Term
Job Description:
Role: Principal Engineer / Application Architect (Java Backend, Angular (Integration with Backend), Google Cloud Platform)
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.
- 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
- Java (8/11/17 ), Spring Boot, REST APIs, microservices, Spring Batch
- Strong experience with Google Cloud Platform (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