Senior Software Engineer

You will work as a senior member of a team responsible for developing large-scale, highly available, and fault-tolerant next-generation SaaS solutions purpose-built for Health Care Analytics in accordance with established processes. Your core technical skills should include advanced Java development with extensive experience in Java 21 features. You should have a deep understanding of Spring Framework, Spring Boot, and Spring Security, along with expertise in implementing authentication, authorization, and secure coding practices. It is essential to implement robust security measures using Spring Security. Proficiency in JBoss BPM Suite (jBPM) for business process automation and experience with microservices architecture is required. Knowledge of Python & R Development is good to have, including Python and/or R application development and scripting, integration of Python services with Java-based systems, and data processing and analysis using Python and/or R libraries. Your key responsibilities will involve designing and implementing scalable, secure, and maintainable enterprise-level solutions. You are expected to establish coding standards, best practices, and architectural guidelines, integrate business process management solutions with existing systems, and ensure that system architectures align with business requirements and the technology roadmap. In terms of technical leadership, you will lead and mentor development teams in technical implementation, conduct code reviews, provide constructive feedback, evaluate and recommend new technologies and frameworks, drive technical decision-making and problem-solving, and collaborate with stakeholders to understand requirements and propose solutions. Additional skills that are necessary for this role include 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, a solid understanding of Apache Spark and big data processing, knowledge of containerization (Docker, Kubernetes), experience with agile methodologies, and database design and optimization skills.,