Lead Software Engineer - Python / PySpark / AWS
Company: JPMorganChase
Location: Jersey City
Posted on: April 2, 2026
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Job Description:
Description We have an exciting and rewarding opportunity for
you to take your software engineering career to the next level. As
a Lead Software Engineer at JPMorgan Chase within the Commercial &
Investment Bank - Markets Technology and Spread Pricing Direct
team, you serve as a seasoned member of an agile team to design and
deliver trusted market-leading technology products in a secure,
stable, and scalable way. You are responsible for carrying out
critical technology solutions across multiple technical areas
within various business functions in support of the firm’s business
objectives. Lead developer role for modernization pricing data
processing and client delivery platform for Fixed Income and
derivative products. Architect and deliver a hybrid on prem/AWS
solution that powers high volume, time sensitive market and pricing
data for internal and external clients. Job responsibilities
Re-engineer and modernize the pricing data processing and
client-delivery platform for Fixed Income and Derivative pricing
using contemporary development and data pipeline practices.
Refactor and streamline end to end data flows; optimize data and
file storage; enable configurable delivery formats for diverse
client needs. Design and implement a strategic platform spanning on
prem and cloud-native AWS services, with a focus on scalability,
resilience, and security. Maintain and enhance existing pricing
data pipelines to improve reliability, performance, and
supportability. Provide application support to business and
client-support teams, including troubleshooting, incident
resolution, and root-cause analysis. Executes software solutions,
design, development, and technical troubleshooting with ability to
think beyond routine or conventional approaches to build solutions
or break down technical problems Creates secure and high-quality
production code and maintains algorithms that run synchronously
with appropriate systems Produces architecture and design artifacts
for complex applications while being accountable for ensuring
design constraints are met by software code development Gathers,
analyzes, synthesizes, and develops visualizations and reporting
from large, diverse data sets in service of continuous improvement
of software applications and systems Proactively identifies hidden
problems and patterns in data and uses these insights to drive
improvements to coding hygiene and system architecture Contributes
to software engineering communities of practice and events that
explore new and emerging technologies Required qualifications,
capabilities, and skills Formal training or certification on
software engineering concepts and 5 years applied experience.
Strong, current hands on Python development experience building and
supporting production systems. Solid understanding of relational
SQL and NoSQL databases, data modeling, and data structures.
Ability to analyze and maintain Perl code from current or legacy
projects. Proven debugging and problem solving skills; comfort
supporting mission critical data flows. Leverage AI-powered
development tools (Copilot, Claude, Codex) to accelerate code
generation, review, testing and delivery across the software
lifecycle Experience designing hybrid architectures across on prem
and AWS. Design, build, and deploy scalable cloud-native
applications and services on AWS using modern infrastructure and
DevOps practices. Familiarity with software engineering best
practices (version control, testing, CI/CD), observability
(logging/monitoring), and performance tuning. Expert-level Python
programming with strong software engineering fundamentals (OOP,
design patterns, testing) Advanced PySpark development including
performance tuning, memory management, and optimization techniques
Preferred qualifications, capabilities, and skills Background in
data pipeline orchestration and optimization (batch or streaming),
and configurable data delivery. Familiarity with Fixed Income and
derivatives products and pricing processes (curve construction,
instrument conventions, valuation metrics). Knowledge of the
financial products (e.g. Fixed Income Securities, Structured
products, Derivatives etc.) Understanding of NoSQL databases
Keywords: JPMorganChase, Levittown , Lead Software Engineer - Python / PySpark / AWS, IT / Software / Systems , Jersey City, New York
