Applications Development Technology Lead - Vice President

Vice President (VP) of Software Engineering 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. Key Responsibilities Lead large‑scale engineering initiatives, mentor junior engineering talent, and actively contribute to solution design and development. 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, and 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. Actively contribute 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. Mentorship and leadership of 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. Benefits Medical, dental & vision coverage. 401(k) plan. Life, accident & disability insurance. Wellness programs. Paid time off (vacation, sick leave, holidays). Competitive employee benefits. Equal Opportunity Statement Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to 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. #J-18808-Ljbffr Citi