JOB DESCRIPTION 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 cloud-native healthcare applications while leveraging Google Vertex AI and AI-assisted engineering practices to improve delivery speed, code quality and solution intelligence. Key Responsibilities: Design, develop and maintain enterprise-grade backend services using Java, Spring Boot, REST APIs and microservices architecture Build and deploy cloud-native 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, prompt-based 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 PHI/PII and HIPAA-aligned controls Participate in code reviews, unit testing, integration testing, CI/CD automation, performance tuning, production support and incident resolution Contribute to architecture discussions, reusable frameworks, technical documentation and engineering best practices across delivery teams REQUIREMENTS Required Skills and Experience: Lead: 10+ years and Developers: 6+ years of hands-on software engineering experience with strong backend development expertise Strong proficiency in Java, Spring Boot, RESTful APIs, microservices, object-oriented design and secure coding practices Hands-on experience with Google Cloud Platform services and cloud-native application development Practical experience using Google Vertex AI or related AI/ML platforms for generative AI model integration, embeddings, prompt workflows or intelligent automation Experience with CI/CD pipelines, Git-based 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, PHI/PII handling, HIPAA-aligned security controls, auditability and production support expectations Ability to use AI-assisted 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 onshore/offshore teams Strong communication skills with the ability to explain technical designs, risks and tradeoffs to business and technology stakeholders Contract Details: Duration: 12 Months Location: PAN INDIA Positions: 4 Client Interview: Yes