Back
Tier-1 brand, metro location, generalist backend title, and mid-level experience increase applicant competition.
Requires financial-services domain knowledge and responsible AI/secure engineering practices, limiting cross-industry transferability.
Explicit 5+ years plus mandatory advanced Java/AWS/Kafka skills and financial-services experience raise selection strictness.
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 software solutions using Java, AWS, Kafka, and related technologies.
Drive adoption and validation of AI-assisted engineering practices to improve code quality, delivery speed, and operational stability.
Evaluate vendors and technical architectures to integrate with existing systems and improve information architecture.
Minimum 5+ years of applied software engineering experience with formal training or certification.
Advanced hands-on experience in Java/J2EE, Spring Boot, AWS, NoSQL, Kafka, and caching technologies.
Proven expertise in AI-assisted software development tools including setting team standards for validation of AI outputs.
Strong understanding of Software Development Life Cycle, agile methodologies (CI/CD), application resiliency, security, and cloud-native experience.
Experienced in delivering end-to-end system design and maintaining operational stability in a financial services environment.
Capable of leading technology adoption related to AI-assisted engineering workflows with a focus on security and compliance.
Able to operate in a fast-paced agile team environment influencing technical standards and vendor evaluations.