Senior Python Architect Developer Vice President

Citi

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Jersey City, NJ
Salary
$142,320–$213,480 / yr
Posted
30 days ago
Freshness
Confirmed live 2 days ago
Closes
Nov 30, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $178k
$133k most similar roles pay here $222k

This role pays more than 58% of similar roles. Most pay $157,000–$212,315 — the shaded band above. At the midpoint, this role pays about $178k versus about $185k 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 256 open roles on FindRole.

Listed pay typically runs $140,080–$210,120 across 238 roles with salary data.

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At a glance

TL;DR · Senior Python Architect Developer Vice President

The Senior Python Architect/Developer - Vice President joins the Technology team to lead applications systems analysis and programming activities. This role focuses on building and managing a massive-scale, distributed compute grid on public cloud platforms like AWS or GCP to operationalize sophisticated pricing models. The individual will design orchestration layers for distributing millions of tasks across thousands of cores, manage versioned quantitative model libraries, and optimize performance, cost, and resource utilization. Key responsibilities include engineering data logistics for market and trade data, ensuring high availability, and mentoring mid-level developers. Required skills include expert knowledge of Docker, Kubernetes, Python, and infrastructure-as-code principles. The role addresses the critical business problem of risk valuation by providing a stable platform to re-value millions of trades against historical scenarios at high speed to meet regulatory obligations.

What you'll do

  • Architect, build, and manage a massive-scale distributed compute grid on public cloud platforms like AWS or GCP.
  • Design and implement an orchestration layer to distribute millions of pricing tasks across thousands of CPU/GPU cores.
  • Deploy, manage, and version control a diverse library of quantitative pricing models in a distributed environment.
  • Monitor and optimize the performance, cost, and resource utilization of the cloud grid for maximum efficiency.
  • Engineer data logistics to ensure market data and trade configurations are available for calculations at runtime.
  • Ensure the pricing engine maintains high availability and meets stringent recovery time objectives.
  • Serve as an advisor and coach to mid-level developers while overseeing work allocation.
  • Define coding, testing, and debugging standards to ensure application design aligns with the architecture blueprint.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent work experience).
  • 10+ years of professional experience designing, building, and running applications on massive-scale compute grids.
  • Expert-level hands-on experience with at least one major public cloud provider including AWS or GCP.
  • Deep expertise in containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong programming skills in languages common to high-performance computing, such as Python.
  • Strong background in distributed systems, performance tuning, and infrastructure-as-code principles.
  • Experience in the financial industry running large-scale Monte Carlo simulations, VaR calculations, or XVA pricing grids (preferred).

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