Senior Software Engineer

As a senior member of the team responsible for developing large-scale, highly available, and fault-tolerant next-generation SaaS solutions for Health Care Analytics, your role will involve the following key responsibilities: - Design and implement scalable, secure, and maintainable enterprise-level solutions. - Establish coding standards, best practices, and architectural guidelines. - Integrate business process management solutions with existing systems. - Ensure system architectures align with business requirements and technology roadmap. Your core technical skills should include: - 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. - Proficiency in JBoss BPM Suite (jBPM) for business process automation. - Experience with microservices architecture. Python & R Development skills are a plus, including: - 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. In terms of technical leadership, you will be expected to: - 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. Additional skills that would be beneficial 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 such as 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 using Docker and Kubernetes. - Experience with agile methodologies. - Database design and optimization skills.,