Principal Engineer - Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Jersey City, NJ
Salary
$142,320–$213,480 / yr
Posted
6 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $178k
$133k most similar roles pay here $232k

This role pays more than 51% of similar roles. Most pay $155,000–$222,000 — the shaded band above. At the midpoint, this role pays about $178k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 370 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 346 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · Principal Engineer - Vice President

As a Principal Engineer in AI and Cloud-Native Applications, you will join a dynamic team as a technical leader, focusing on the design, development, and deployment of advanced application systems using Java and Python. Your responsibilities include architecting robust data migration strategies for hybrid cloud environments (on-premise, AWS, GCP) and building high-performance data pipelines. You will drive innovation by integrating emerging AI technologies into existing solutions while ensuring compliance with architectural standards and regulatory requirements. Essential skills encompass expertise in RESTful APIs, Kafka, Kubernetes, and familiarity with foundational AI models like Gemini and OpenAI. This role demands a minimum of 8 years of hands-on experience in backend systems, data engineering, or cloud-native applications, along with strong leadership and communication abilities to mentor teams and collaborate across functions.

What you'll do

  • Lead the design and development of complex application systems using Java and Python.
  • Architect data migration strategies for seamless transfers between on-premise and cloud platforms.
  • Build high-performance data pipelines spanning hybrid cloud environments (AWS, GCP).
  • Drive technical excellence in application development with a focus on scalability and security.
  • Evaluate and integrate emerging AI technologies into existing application landscapes.
  • Provide technical guidance and mentorship to development teams on core technologies.

What we're looking for

  • Minimum 8+ years of hands-on experience in backend systems, data engineering, or cloud-native applications.
  • Expert-level proficiency in Java and Python with extensive knowledge of RESTful APIs and Kafka.
  • Proven track record in designing large-scale data migrations and robust data pipelines across hybrid clouds (on-premise, AWS, GCP).
  • Deep understanding of cloud infrastructure services including AWS S3 and GCP BigQuery.
  • Experience with containerization technologies like Docker and orchestration tools such as Kubernetes.
  • Familiarity with foundational AI models and prompt engineering concepts for integrating AI into applications.
  • Strong leadership skills to mentor and guide development teams in technical excellence.

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