Applications Development Technology Lead – Vice President

Citigroup Inc.

Rutherford (NJ)

On-site

USD 150,000 - 200,000

Full time

14 days+

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Benefits offered by this job

401(k)
Medical, dental & vision coverage
Paid time off packages

Job summary

Citigroup Inc. is looking for a Vice President (VP) of Software Engineering to lead technical initiatives and mentor engineers. The ideal candidate will have strong expertise in cloud-native architecture, data engineering, and modern UI development, particularly with React.

The position requires a minimum of 6 years of experience in software engineering and offers a competitive salary and benefits package, including 401(k) and medical coverage.

Qualifications

  • 6+ years in software engineering with hands-on experience.
  • Experience in cloud-native architecture and public cloud platforms.
  • Proven experience with microservices, RESTful APIs, and event-driven architectures.

Responsibilities

  • Lead large-scale engineering initiatives and mentor junior engineers.
  • Architect scalable systems using cloud-native architecture.
  • Align engineering initiatives with SAFe Agile principles.

Skills

Cloud-native architecture
Data engineering
Microservices
React
Python
SAFe Agile framework
CI/CD
Combining technical leadership
Stakeholder management

Education

Bachelor’s degree or equivalent experience

Tools

Docker
Kubernetes
AWS
Azure
GCP

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.

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.

In addition to salary, Citi’s offerings may also include, for eligible employees, 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 time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please refer to citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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.

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