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