Senior Python Architect Developer Vice President

Citi

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Jersey City, NJ
Salary: $142,320–$213,480 / yr
Posted: 22 days ago
Freshness: Confirmed live yesterday
Closes: Nov 30, 2026
Nearby: 99+ roles within 25 mi

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.

Most-posted roles

View all roles at Citi

At a glance

TL;DR · Senior Python Architect Developer Vice President

Role Posting Log in to save

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 hundreds of thousands of CPU/GPU cores while ensuring high availability and performance optimization. Key responsibilities include developing standards for coding, testing, and debugging, as well as mentoring mid-level developers. Required skills include expert-level experience with Docker, Kubernetes, and Python, alongside a strong background in distributed systems and infrastructure-as-code. The role addresses the critical business problem of risk valuation by ensuring millions of trades can be re-valued against thousands of historical market scenarios with extreme speed and stability.

Skills

Python AWS GCP Kubernetes Docker Distributed Systems infrastructure-as-code Batch Processing Serverless high-performance computing Monte Carlo Simulations VaR Calculations XVA Pricing Performance Tuning

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 remains highly available and resilient to meet strict recovery time objectives.
Serve as a technical advisor and coach to mid-level developers and analysts while allocating their work.
Define coding, testing, and debugging standards to ensure application design adheres to the architecture blueprint.

What we're looking for

10+ years of professional experience designing, building, and running applications on massive-scale compute grids.
Expert-level hands-on experience with AWS or GCP, including batch processing, container, and serverless offerings.
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.
A Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent work experience).
A 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).

Save