Python Development Operations Engineer Vice President

Citi

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$142,320–$213,480 / yr
Employment
Full-time
Posted
81 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $178k
$131k $223k
below market most similar roles pay here above market

This role pays more than 58% of similar roles. Most pay $150,939–$214,500 — the blue band above. At the midpoint, this role pays about $178k versus about $183k 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 268 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 251 roles with salary data.

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At a glance

TL;DR · Python Development Operations Engineer Vice President

The Python Development Operations Engineer Vice President joins the COO Enterprise Solution Engineering capability to build solutions featuring agentic flows and application integration. This role focuses on driving process efficiencies, automation, simplification, and risk reduction across enterprise business solutions. You will contribute to the technical direction of products, instill engineering best practices, and lead the enterprise-wide adoption of Generative AI technologies. Key responsibilities include developing foundational components for Large Language Models, designing scalable distributed systems, and collaborating with third-party providers. Required technical skills include Python, Java, Javascript, Typescript, and Golang, alongside experience with LangChain, LangGraph, MLFlow, Flask, and Spring. You must also possess proficiency in Oracle, Postgres, MongoDB, Kafka, React JS, StreamLit, Docker, Kubernetes, Terraform, Helm, Jenkins, and Gradle within AWS, GCP, or Azure cloud environments.

What you'll do

  • Build solutions for agentic flows and application integration to improve process efficiencies and risk reduction.
  • Develop foundational components and mature technology capabilities in Artificial Intelligence and Large Language Models.
  • Drive the enterprise-wide adoption and successful integration of Generative AI solutions.
  • Engineer robust, scalable, and user-friendly end-to-end solutions using a product-focused approach.
  • Participate in pair programming and promote lean methodologies to streamline development processes.
  • Design and implement scalable systems using high-performance, large-scale distributed architectures.
  • Develop partnerships with third-party providers to validate and adopt best-of-breed technology solutions.

What we're looking for

  • Hands-on experience engineering and executing scalable enterprise solutions.
  • 5+ years of experience and fluency in at least two programming languages, with a strong preference for Python and Java (preferred).
  • 3+ years of professional experience in financial services, technology firms, or dynamic start-up environments.
  • 3+ years of experience with LLMs, transformers, agentic frameworks, vector stores, and search algorithms.
  • 3+ years of experience with frameworks such as Spring, Flask, LangChain, LangGraph, and MLFlow.
  • 3+ years of experience with database technologies like Oracle, Postgres, or MongoDB.
  • Proficiency in Javascript/Typescript and Golang (preferred).
  • Bachelor's degree in Computer Science, Information Technology, or Engineering, or equivalent work experience.

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