Java Fullstack Developer- Vice President

Job Description: Applications Development Technology Lead Analyst (C13) – Java Full Stack

Role Overview

Technical Leadership & Solution Delivery

Innovation, AI-Augmented Engineering & Coaching

Risk, Compliance & Governance

Core Backend Software Engineering (Java)

Modern Frontend Engineering (React / Angular)

Database & Data Engineering

CI/CD, Containerization & Cloud Operations

AI-Assisted Engineering

Education & Experience

Job Family Group:

Job Family:

Time Type:

Most Relevant Skills

Other Relevant Skills

Qualifications

• Experience: 6–10+ years of progressive, hands-on experience in full-stack software engineering and application architecture, with demonstrated experience leading technical delivery within enterprise environments.
• This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
• Technology
• Applications Development
• Full time
• Most Relevant Skills
• Please see the requirements listed above.
• Other Relevant Skills
• For complementary skills, please see above and/or contact the recruiter.
• 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.
• If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
• View Citi’s EEO Policy Statement and the Know Your Rights poster.
• 6–10+ years of progressive, hands-on experience in full-stack software engineering and application architecture, with demonstrated experience leading technical delivery within enterprise environments.

Preferred Qualifications

• Education: Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or equivalent; Master’s degree preferred.

Responsibilities

• System Integration & Product Delivery: Partner with engineering managers, product owners, and multi-disciplinary teams to establish architectural roadmaps, integrate enterprise services, and deliver core system enhancements and new digital capabilities.
• Architecture & Engineering Standards: Ensure software and application designs strictly adhere to enterprise architecture blueprints, security baselines, and industry best practices.
• Complex Problem Resolution: Resolve high-impact, critical engineering and architectural challenges through in-depth evaluation of complex business flows, technical bottlenecks, system dependencies, and industry standards.
• Coding & Quality Governance: Define, champion, and enforce engineering standards for clean code, design patterns, automated unit/integration testing, debugging, code reviews, and release readiness.
• Cross-Functional Domain Alignment: Maintain a comprehensive understanding of how application architecture, infrastructure, data management, and business capabilities integrate to achieve business objectives.
• Innovative Problem-Solving: Apply interpretive thinking and structured analysis to identify complex technical problems, proposing modern, scalable, and resilient technical solutions.
• AI-First Software Delivery: Actively leverage generative AI and modern developer-productivity tools to accelerate software delivery cycles, streamline automated test creation, refactor legacy code, and elevate code quality.
• Mentorship & Team Guidance: Serve as a technical advisor and mentor to mid-level software engineers and analysts, leading technical discussions and delegating engineering tasks effectively.
• Risk & Controls Assessment: Appropriately assess risk when business and technical decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding client assets.
• Regulatory & Policy Compliance: Drive compliance with applicable laws, rules, and enterprise standards; apply sound ethical judgment; and escalate, manage, and report control issues with full transparency.
• Qualifications & Technical Competencies
• Java Mastery: Advanced, hands-on expertise with Java (Java 17 / 21) and the modern enterprise Java ecosystem.
• Frameworks: Extensive experience with Spring Boot, Spring Cloud, Spring Security, Spring Data, and Hibernate / JPA.
• Microservices Architecture: Proven track record of architecting, implementing, and deploying high-throughput, low-latency, resilient, and secure microservices and distributed processing systems.
• Messaging & Event-Driven Systems: Hands-on experience with asynchronous messaging and event streaming technologies (Apache Kafka, Solace, or JMS).
• API Standards: Expertise designing and developing enterprise-grade RESTful APIs and gRPC services with strong authentication/authorization patterns (OAuth2, OIDC, mTLS).
• Frontend Frameworks: Deep practical experience building modern, responsive web applications using React and/or Angular with TypeScript and modern ECMAScript (ES6+).
• State Management & Reactive Programming: Proficiency in state management patterns (Redux / NgRx) and reactive streams using RxJS.
• Modern UI & Micro-Frontends: Hands-on experience with Micro-Frontend architectures, standalone components, dynamic routing, and complex enterprise data grids (e.g., AG Grid Enterprise, Elemental UI / Design System components).
• Web Fundamentals & Real-Time Data: Strong mastery of HTML5, CSS3, SCSS, DOM manipulation, responsive layouts, and bidirectional communication protocols (WebSockets / Server-Sent Events).
• Relational Databases (RDBMS): Deep experience with relational data modeling, schema design, advanced SQL tuning, and query optimization on enterprise databases (Oracle,).
• NoSQL Data Stores: Practical experience designing, indexing, and maintaining document/key-value NoSQL databases (MongoDB/Couchbase).
• High Availability & Scalability: Solid understanding of database clustering, indexing strategies, replica sets, connection pooling, and caching strategies.
• Containers & Orchestration: Proven experience containerizing applications using Docker and deploying onto container orchestration platforms (Kubernetes / Red Hat OpenShift).
• Enterprise CI/CD Pipelines: Hands-on proficiency configuring automated build, test, and release pipelines using modern enterprise platforms (Harness, Jenkins, Tekton, or GitHub Actions) in Linux environments.
• Job Scheduling & Batch Systems: Familiarity with enterprise workload automation and job schedulers (Autosys or equivalent).
• Quality & Security Tooling: Experience integrating automated code quality, dependency management, and vulnerability scanning tools (SonarQube, Snyk, Checkmarx).
• AI-First Tooling: Demonstrated proficiency integrating Generative AI developer tools (e.g., GitHub Copilot, Claude, ChatGPT, or internal LLM coding assistants) into daily development workflows to enhance productivity, code generation, and test coverage.