Back
Tier-1 brand, generalist backend title, mid-level experience, and metro location increase competition.
Requires deep financial services knowledge and secure AI experience, reducing cross-industry transferability.
Explicit 5+ years requirement plus mandatory Java/Spring/Kafka/AWS and finance domain experience.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, development, and troubleshooting of secure, high-quality production code within an agile Post Trade Technology team.
Drive adoption of enterprise-authorized AI-assisted engineering tools to improve code quality, delivery speed, and operational stability.
Lead evaluations of external/internal technical architectures and facilitate Software Engineering communities of practice to promote new technologies.
5+ years of applied software engineering experience with formal training or certification.
Hands-on experience with Java, Spring Boot, Kafka, AWS, Oracle/SQL, and data modeling.
Experience leading use of approved AI-assisted software development tools with knowledge of responsible AI workflows and security.
Practical experience in software development life cycle, automation, CI/CD, application resiliency, security, and financial services IT systems.
Technical leader capable of influencing team AI-assisted engineering practices and validating AI outputs.
Experienced in cloud native development and financial services technology environments.
Comfortable leading architecture evaluations and driving adoption of innovative engineering tools across teams.