Applications Development Technology Lead – Vice President

We are seeking a Vice President (VP) of Software Engineering who combines technical leadership with hands-on technical expertise. This role is ideal for a senior software engineer passionate about building software at scale using cloud-native architecture, data engineering best practices, and modern UI development with React, while driving Generative AI adoption for business use cases within a SAFe Agile operating model. You will lead large-scale engineering initiatives, mentor junior engineering talent, and actively contribute to solution design and development. Key Responsibilities: Technical Leadership & Execution * Align engineering initiatives with SAFe Agile principles, ensuring predictable delivery and continuous improvement. * Architect scalable, high-performing systems using cloud-native architecture and proven design patterns. * Build foundational frameworks across middleware and UI to accelerate development and reduce maintenance overhead. * Lead data engineering efforts, including: * Data modeling * Data pipelines (ETL/ELT) * Batch and streaming data processing * Data governance (catalog/lineage) and quality engines * Big data technologies * Drive Generative AI adoption across product lines, leveraging Python, LLMs, Google’s ADK and AI-driven automation to accelerate SDLC and deliver business value. Hands-on Technical Leadership * Actively contributes to product requirements analysis and solution architecture. * Lead proof-of-concepts, design and development of critical components, and code reviews. * Implement foundational components across Java and React for enterprise-grade applications. * Champion AI-based code generation tools to automate repetitive engineering tasks. * Collaborate with DevOps teams to optimize CI/CD pipelines, containerization (Docker/Kubernetes), and observability. People & Process Leadership * Mentor and lead a global team of engineers. * Foster a culture of innovation, technical excellence, and accountability. * Ensure compliance with security, regulatory, and performance standards. Required Skills & Experience: * 6+ years in software engineering, with hands-on experience * Proven experience in cloud-native architecture and public cloud platforms (AWS, Azure, GCP). * Strong expertise in microservices, RESTful APIs, and event-driven architectures. * Hands-on experience with React, TypeScript, and modern front-end frameworks. * Deep experience in data engineering, including pipelines (ETL/ELT), data storage (warehouses, lakes), batch/stream processing, data modeling, governance, and big data technologies. * Familiarity with Generative AI technologies (LLMs, prompt engineering, AI integration patterns, Agentic AI). * Strong understanding of SAFe Agile framework and enterprise-scale agile delivery. * Knowledge of DevOps, CI/CD, container orchestration, and observability tools. * Experience in large-scale financial services enterprise environments. * Excellent communication, stakeholder management, and executive reporting skills. Preferred Qualifications: * Experience with Financial Risk and Data. * Certifications in Cloud Architecture (AWS/Azure/GCP) and SAFe Agile. * Certification in AI/ML technologies such as Google ADK Education: * Bachelor’s degree/University degree or equivalent experience \------------------------------------------------------ ## Job Family Group: Technology \------------------------------------------------------ ## Job Family: Applications Development \------------------------------------------------------ ## Time Type: Full time \------------------------------------------------------ ## Primary Location: Rutherford New Jersey United States \------------------------------------------------------ ## Primary Location Full Time Salary Range: $142,320.00 - $213,480.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic...