Applications Development Technology Lead – Vice President

Citi; Rutherford (NJ); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k) plan

Life, disability insurance

Wellness programs

Paid time off

Job summary

Citi is seeking a Vice President of Software Engineering to lead scalable, cloud-native software initiatives across enterprise platforms. You will mentor a global team, drive AI integration, and ensure SAFe-aligned delivery while partnering with product and DevOps to optimize pipelines and observability.

The role requires deep hands-on expertise in Java/React, data engineering, and modern UI development, with a focus on secure, high-performance systems in a financial services setting.

Qualifications

• Minimum 6+ years in software engineering with hands-on experience.
• Proven cloud-native architecture experience on public clouds (AWS/Azure/GCP).
• Strong background in microservices, REST APIs, and event-driven systems.
• Hands-on with React and TypeScript for UI development.

Responsibilities

• Lead large-scale engineering initiatives and mentor engineers.
• Align work with SAFe Agile principles for predictable delivery.
• Architect scalable systems using cloud-native patterns.
• Lead data engineering efforts including pipelines and governance.
• Drive Generative AI adoption across product lines.
• Collaborate on product requirements and solution architecture.
• Oversee code reviews and build foundational components in Java and React.
• Enhance CI/CD, containerization, and observability with DevOps teams.

Skills

Leadership

Cloud-native architecture

SAFe Agile

Data engineering

Python

React

TypeScript

AI/Generative AI

Solution design

Stakeholder management

Education

Bachelor’s degree

Tools

AWS

Azure

GCP

Docker

Kubernetes

React

TypeScript

Job description

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.