Lead Software Engineer, AI & Decision Products

- Demonstrated strong ownership and the capacity to quickly learn and adapt. - Proven ability to lead influence through aligning others, driving decisions, and overcoming obstacles in delivery. - Robust understanding of service and platform-level system architecture, including distributed systems and event-driven designs. - Experience with advanced design patterns like dependency injection and lazy loading. - Proficient in utilizing open frameworks, particularly Spring Boot. - Solid software engineering fundamentals with hands-on experience in designing, building, and maintaining production-grade systems. - Expertise in Java, Spring, gRPC, and backend service development for high-performance, scalable applications. - Familiar with CI/CD pipelines (Jenkins), Docker, Kubernetes, and container orchestration. - Knowledge of cloud platforms (AWS) and cloud-native architectures including migration strategies. - Experience with relational databases (such as Oracle) and NoSQL databases (e.g., Cassandra). - Familiarity with Business Rule Management Systems like IBM ODM, along with queuing technologies such as MQ and Kafka. - Proven capability to lead design discussions, conduct code reviews, and enforce engineering standards. - Experience with contemporary development methodologies (Agile, CI/CD, automated testing, code reviews). - Understanding of secure coding practices (e.g., OWASP, CWE, SEI CERT) and vulnerability management.