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 Py Spark 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