Applications Development Technology Lead – Vice President

Citi; Rutherford (NJ); On-site; USD 142,320 - 213,480; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k) plan

Paid time off packages

Job summary

Citi is seeking a Vice President (VP) of Software Engineering in Rutherford, New Jersey. This role is tailored for a senior software engineer who will combine technical leadership with hands-on expertise to build software at scale. The VP will lead large-scale engineering initiatives, mentor junior staff, and drive Generative AI adoption within a SAFe Agile framework.

The ideal candidate should have over 6 years of experience in software engineering, familiar with cloud-native architectures and modern UI development with React. The position offers a competitive salary range between $142,320.00 - $213,480.00, along with various employee benefits.

Qualifications

• 6+ years in software engineering with hands-on experience.
• Strong expertise in microservices, RESTful APIs, and event-driven architectures.
• Deep experience in data engineering, including pipelines (ETL/ELT) and big data technologies.

Responsibilities

• Lead large-scale engineering initiatives and mentor junior talent.
• Align engineering initiatives with SAFe Agile principles.
• Drive Generative AI adoption across product lines.

Skills

Cloud-native architecture

Data engineering best practices

Technical leadership

React

SAFe Agile

Generative AI

Education

Bachelor's degree or equivalent experience

Tools

AWS

Azure

GCP

Docker

Kubernetes

Python

Job description

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

Compensation & Benefits

Primary Location: Rutherford, New Jersey, United States.

Full‑time Salary Range: $142,320.00 - $213,480.00. In addition to salary, Citi’s offerings may include discretionary and formulaic incentive and retention awards. 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 vacation, unplanned sick leave, and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com.

Anticipated Posting Close Date: May 29, 2026

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.