SVP, Java Full-Stack Principal Engineer - AI Hub Engineering

The Bank of New York Mellon Corporation

Lake Mary, FL, United States

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

9 years minimum

Working hours

Regular working hours

Job source

jobs.localjobnetwork.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Airflow CA Workload Automation Ae Behavior-Driven Development Software Quality Computer Engineering Software Design Patterns DevOps Monitoring of Systems

+37 more

Java Virtual Machine (JVM) Spring Framework Job Scheduling Junit Python (Programming Language) Log4j Mockito Microsoft Copilot Software Engineering SonarQube SQL Stored Procedures SQL Databases Data Logging Scripting Test-Driven Development (TDD) Spring-mvc Retrieval-Augmented Generation Delivery Pipeline Large Language Models Claude Code Prompt Engineering Spring-boot Mttr Veracode Backend Agentic-AI Gitlab Containerization AI Platforms Kubernetes AutoGen Restful APIs Cucumber (Software) Splunk Docker Microservices Control M

Job description

Design and implement scalable, secure, and performant backend services using Java, Spring Boot, and REST APIs.
Develop and consume APIs as part of a distributed microservices environment, with a focus on reliability, maintainability, and testability.
Design, Build and test AI agents using in-house AI platform and Python to automate complex control-related tasks
Design, develop and test LLM based AI Agents with RAG/Autogen and prompt engineering
Implement structured logging using SLF4J and Log4j, and integrate with monitoring tools and logging aggregators (e.g., Splunk, ELK).
Collaborate with DevOps engineers to define and optimize CI/CD pipelines using GitLab, ensuring smooth and secure build, test, and deployment workflows. Drive SRE and operational excellence: define SLIs/SLOs, instrument services (logs/metrics/traces), optimize JVM/heap/GC performance, and lead incident response to reduce MTTR.
Apply test-driven development (TDD) and behavior-driven development (BDD) practices using Cucumber, JUnit, and Mockito.
Ensure code quality and security by leveraging tools such as SonarQube and Veracode, with a focus on maintainable and compliant code.
Own end-to-end delivery of Java-based microservices and platform components; set technical direction, architecture guardrails, and operational KPIs for reliability, security, and performance.
Lead a small team (5-10 engineers), driving system-level thinking across services, data, integration, observability, and controls to achieve accelerated outcomes & Mentoring them.

Requirements

Bachelor’s degree in computer science engineering or a related discipline, or equivalent work experience required
9-11+ years of experience in software development required; experience in the securities or financial services industry is a plus
Strong expertise and in depth knowledge of Java, Spring Framework (Spring MVC, Spring Boot), design patterns, Microservices architecture, and Restful APIs
Experience in AI Code Assist Technologies (CoPilot, Claude Code, Windsurf,..)
Strong understanding of AI agent architecture, solid grounding and prompt engineering
Strong understanding of DevOps principles, best practice for coding and Agile development
Proficient in automating CI/CD pipelines on large container platforms (Docker, Kubernetes)
Batch Monitoring & Job scheduling tools like Airflow, Autosys & Control M.
Proficient in scripting and SQL, Stored Procedures and transaction management

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