Senior Java Software Engineer Vice President

Citi; New York (NY); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k)

Paid time off packages

Job summary

Citi is seeking a Senior Java Software Engineer, Vice President to lead the design and development of complex middleware applications in a hybrid work model. This role requires strong expertise in Java and Spring Framework, as well as a passion for leveraging AI to enhance software engineering practices.

Responsibilities include optimizing database interactions, mentoring junior engineers, and driving CI/CD pipeline improvements. Citizen offers competitive employee benefits and emphasizes a diverse and inclusive workplace.

Qualifications

• 6-10 years of experience in Applications Development or systems analysis role.
• Demonstrated expertise in Java and deep understanding of its core concepts and JVM.
• Strong foundation in object-oriented programming principles.

Responsibilities

• Lead design, development, and implementation of middleware applications using Java and Spring Boot.
• Architect and optimize database interactions with Oracle and MongoDB.
• Mentor junior engineers and promote a culture of technical excellence.

Skills

Core Java

Spring Framework (Spring Boot)

RESTful APIs and microservices

SQL

Oracle databases

MongoDB

CI/CD tools

Git

JUnit

Education

Bachelor’s degree in relevant field

Master’s degree preferred

Tools

Git

Jenkins

Docker

Kubernetes

Job description

Senior Java Software Engineer, Vice President

Job Req Id: 26947339

Location: Irving, Texas, United States

Job Type: Hybrid

Posted: Apr. 20, 2026

Job Overview

Senior Java Engineer – Agentic AI Driven Development

Responsibilities (Leveraging AI)

• Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot: utilize AI-powered code generation tools (e.g., Devin, Copilot, Codex) to accelerate development, automate boilerplate code, suggest optimal implementations, and enforce architectural patterns. Leverage AI for design pattern identification and complex system architecture validation.
• Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity: employ AI to analyze database query performance, suggest advanced indexing strategies, optimize schema designs, and generate efficient SQL/NoSQL queries; use AI-driven tools to predict load and recommend scaling solutions.
• Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery: integrate AI into CI/CD processes for intelligent test case generation, predictive failure analysis, automated code vulnerability scanning, and optimization of pipeline execution times based on historical data.
• Collaborate with cross-functional teams—including product management, QA, and operations—to define requirements, design solutions, and deliver high-quality software: use AI-powered communication and summarization tools (e.g., Claude) to streamline requirement gathering, document analysis, and stakeholder communication; assist in translating technical designs for diverse audiences.
• Mentor and provide technical guidance to junior and mid-level engineers, fostering a culture of technical excellence and continuous learning: leverage AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical concepts; encourage adoption of AI-driven development practices.
• Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality: continuously explore emerging AI tools and techniques (such as Anti Gravity for complex problem-solving) and assess their applicability to our development ecosystem.
• Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines: utilize AI-powered code analysis tools to pre-scan code for potential bugs, security vulnerabilities, performance bottlenecks, and style deviations, allowing human reviewers to focus on higher-level logic and design.
• Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems: implement AI-driven anomaly detection in monitoring systems, leverage AI for rapid log analysis and root cause identification, and automate incident response workflows.
• Contribute to the strategic planning and technical roadmap for our middleware platforms: employ AI to analyze industry trends, forecast technology evolution, assess the impact of new features, and prioritize roadmap initiatives based on data-driven insights.
• Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development: utilize AI for data synthesis, predictive modeling for estimates, identification of potential IT risks, and accelerated model prototyping and validation.
• Monitor and control all phases of the development process (analysis, design, construction, testing, and implementation) and provide user and operational support: implement AI-driven dashboards and reporting for real-time project health, automated progress tracking, and proactive identification of lifecycle bottlenecks.
• Utilize in-depth specialty knowledge of application development to analyze complex problems/issues, evaluate business processes, system processes, and industry standards, and make evaluative judgments: augment human analytical capabilities with AI-powered data analysis and pattern recognition to rapidly assess scenarios and inform robust decision-making.
• Recommend and develop security measures in post-implementation analysis of business usage to ensure successful system design and functionality: use AI-driven security analysis tools to continuously monitor applications for vulnerabilities, predict potential threats, and recommend adaptive security controls.
• Consult with users, clients, and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems: employ AI to quickly understand user pain points, simulate solution impacts, and generate clear documentation or prototypes for client review.
• Ensure essential procedures are followed and help define operating standards and processes: utilize AI for automated compliance checks against defined procedures and for suggesting improvements to operational workflows based on performance data.
• Serve as advisor or coach to new or lower-level analysts: provide AI-assisted guidance and training resources, offering personalized feedback and access to extensive knowledge bases.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm’s reputation and safeguarding Citigroup, its clients, and assets: leverage AI for advanced risk analytics, scenario planning, and compliance monitoring, enhancing the accuracy and foresight of risk assessments.

Required Technical Skills

• Core Java: strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals.
• Frameworks: extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security).
• Middleware: proven experience in designing and developing RESTful APIs and microservices.
• Relational Databases: strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures.
• NoSQL Databases: experience with MongoDB, including data modeling, querying, and performance tuning.
• CI/CD & DevOps: hands‑on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes).
• Version Control: proficiency with Git and standard branching strategies (e.g., Gitflow).
• Testing: experience with unit testing frameworks (JUnit, Mockito) and integration testing.
• Web Technologies (Beneficial): familiarity with web services (SOAP/REST), XML, JSON.

AI Tools & Methodologies (Must)

Demonstrable exposure and practical experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex. Strong understanding of AI/ML concepts, prompt engineering, and integrating AI into software development workflows (e.g., for code generation, testing, debugging, and documentation). A keen desire to apply AI technologies to improve software development processes and outcomes.

Recommended Qualifications

• 6-10 years of relevant experience in Apps Development or systems analysis role.
• Demonstrated expertise in Java, with a deep understanding of its core concepts, libraries, and the Java Virtual Machine (JVM).
• Extensive experience with the Spring Framework, including Spring Boot, for building enterprise-level applications, and proficiency with ORM frameworks like Hibernate or JPA.
• Strong foundation in object-oriented programming (OOP) principles and a practical understanding of design patterns to create scalable and maintainable code.
• Proficient in working with relational databases (e.g., PostgreSQL, Oracle, MySQL) and NoSQL databases such as MongoDB.
• Experience with unit testing frameworks (e.g., JUnit, Mockito) and a commitment to writing clean, well-documented, and testable code.
• Solid understanding of RESTful API design and development, and experience creating and consuming web services.
• Extensive experience system analysis and in programming of software applications.
• Experience in managing and implementing successful projects.
• Subject Matter Expert in at least one area of Applications Development.
• Ability to adjust priorities quickly as circumstances dictate.
• Demonstrated leadership and project management skills.
• Consistently demonstrates clear and concise written and verbal communication.

Education

• Bachelor’s degree/University degree or equivalent experience.
• Master’s degree preferred.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Benefits

Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. In addition to salary, Citi’s offerings may also include discretionary and formulaic incentive and retention awards. Available offerings may vary by jurisdiction, job level, and date of hire.

EEO Statement

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

Accessibility at Citi (opens in new window). View Citi’s EEO Policy Statement (opens in new window) and the Know Your Rights poster.