Specialist - Architecture

Role Overview We are looking for an experienced Senior Java Spring Boot Engineer with strong Google Cloud Platform experience and preferably a healthcare domain background The ideal candidate will design develop and support secure scalable cloudnative healthcare applications while leveraging Google Vertex AI and AIassisted engineering practices to improve delivery speed code quality and solution intelligence Key Responsibilities Design develop and maintain enterprisegrade backend services using Java Spring Boot REST APIs and microservices architecture Build and deploy cloudnative applications on Google Cloud Platform using services such as Cloud Run Cloud Functions PubSub Cloud Storage and managed databases Integrate Google Vertex AI capabilities into healthcare applications including generative AI model endpoints promptbased workflows and intelligent automation use cases Apply responsible AI and vibe coding practices to accelerate development improve developer productivity and support rapid prototyping while ensuring code quality security and maintainability Collaborate with product owners architects business analysts QA DevOps and healthcare stakeholders to translate business and clinical requirements into technical solutions Ensure application designs and data handling practices align with healthcare security privacy and compliance expectations including protection of PHIPII and HIPAAaligned controls Participate in code reviews unit testing integration testing CICD automation performance tuning production support and incident resolution Contribute to architecture discussions reusable frameworks technical documentation and engineering best practices across delivery teams Required Skills and Experience 6 years of handson software engineering experience with strong backend development expertise Strong proficiency in Java Spring Boot RESTful APIs microservices objectoriented design and secure coding practices 
 Handson experience with Google Cloud Platform services and cloudnative application development 
 Practical experience using Google Vertex AI or related AIML platforms for generative AI model integration embeddings prompt workflows or intelligent automation 
 Experience with CICD pipelines Gitbased source control automated testing containerization and DevOps practices 
 Healthcare domain experience including familiarity with payer provider pharmacy claims clinical patient engagement or healthcare data platforms 
 Understanding of healthcare data privacy PHIPII handling HIPAAaligned security controls auditability and production support expectations 
 Ability to use AIassisted development or vibe coding approaches responsibly validating generated code for correctness reliability security and maintainability 
 Preferred Qualifications 
 Experience with healthcare interoperability standards such as HL7 FHIR EDI X12 or similar healthcare integration patterns Knowledge of BigQuery Dataflow Cloud Composer Apigee Kubernetes Terraform Jenkins GitHub Actions or observability tools Experience working in Agile or SAFe delivery environments with distributed onshoreoffshore teams Strong communication skills with the ability to explain technical designs risks and tradeoffs to business and technology stakeholders