Full Stack Java Microservices Developer - Assistant Vice President
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Data-driven signals on your job's competitivenessTier-1 brand, popular fullstack title, and metro location drive high applicant density.
Core Java microservices and AI/ML skills are transferable, but financial domain preferences raise sensitivity moderately.
Explicit 7+ years plus mandatory Java microservices, AI/ML integration, and specific tech stack increases strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and architecture of high-volume, low-latency Java microservices and AI/ML integration solutions within enterprise financial applications.
Develop, optimize, and maintain Java-based microservices, APIs, and AI-driven components ensuring scalability, performance, and code quality.
Provide technical leadership by mentoring engineers, driving best practices, collaborating across teams, and resolving complex production issues.
Minimum Requirements
7+ years of software development experience with focus on Java Microservices and AI/ML integration.
Expertise in Java (JDK 11+), Spring Boot, Spring Cloud, Hibernate, and microservices architectures with middleware such as Kafka or RabbitMQ.
Experience integrating AI/ML models into production systems and working with cloud platforms (AWS, Azure, GCP, OpenShift/Kubernetes).
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Ideal Candidate Profile
Senior-level engineer with strong full-stack development skills combining Java microservices and AI/ML integration in complex enterprise environments.
Experienced technical leader able to lead architectural strategy, mentor teams, and collaborate cross-functionally including with data scientists and front-end developers.
Familiar with financial services domain requirements, scalable distributed systems, and modern DevOps/MLOps practices for production-grade software and AI services.