Technical Architect (Java)
Job details
Job Description Work as a senior member of a team responsible for developing large-scale, highly available and fault-tolerant next-generation SaaS solutions that are purpose-built for Health Care Analytics in accordance with established processes. Core Technical Skills Java Ecosystem
- Advanced Java development with extensive experience in Java 21 features
- Deep understanding of Spring Framework, Spring Boot, and Spring Security
- Expertise in implementing authentication, authorization, and secure coding practices
- Implement robust security measures using Spring Security
- Proficient in JBoss BPM Suite (jBPM) for business process automation
- Experience with microservices architecture
- Python and/or R application development and scripting
- Integration of Python services with Java-based systems
- Data processing and analysis using Python and/or R libraries
- Design and implement scalable, secure, and maintainable enterprise-level solutions
- Design and implement business process automation using jBPM
- Create detailed technical specifications and architecture documents
- Establish coding standards, best practices, and architectural guidelines
- Review and approve technical designs proposed by development teams
- Integrate business process management solutions with existing system
- Ensure system architectures align with business requirements and technology roadmap
- Lead and mentor development teams in technical implementation
- Conduct code reviews and provide constructive feedback
- Evaluate and recommend new technologies and frameworks
- Drive technical decision-making and problem-solving
- Collaborate with stakeholders to understand requirements and propose solutions
- Strong problem-solving and analytical skills
- Excellent communication and leadership abilities
- Experience with CI/CD pipelines and DevOps practices
- Knowledge of cloud platforms (AWS, Azure, or GCP)
- Proven experience with Apache Kafka and event-driven architectures
- Solid understanding of Apache Spark and big data processing
- Understanding of containerization (Docker, Kubernetes)
- Experience with agile methodologies
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