Lead Software Engineer – ML/Data Platform

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading financial services firm is seeking a Lead Software Engineer - Python to join their Corporate Sector team in Jersey City. This role emphasizes designing and implementing software solutions that address complex business challenges. Candidates should have over 5 years of experience with a focus on Python and other programming languages, along with strong knowledge of software development lifecycle and agile methodologies. The position offers the opportunity to work in a collaborative agile environment, mentoring junior engineers while driving continuous improvement.

Qualifications

• 5+ years of applied experience in software engineering.
• Hands-on experience with system design, application development, and operational stability.
• Advanced proficiency in programming languages including Python, RabbitMQ and AWS.

Responsibilities

• Design, develop, and implement software solutions in the storage product domain.
• Collaborate with cross-functional teams for requirements gathering and solution architecture.
• Manage the full software development lifecycle (SDLC).

Skills

Python

RabbitMQ

Docker

React

Django

FastAPI

Flask

AWS

Education

Formal training or certification in software engineering

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer - Python at JPMorganChase within the Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Design, develop, and implement software solutions to address complex business and technical challenges within the storage product domain.
• Collaborate with cross-functional teams to gather requirements, architect solutions, and deliver products that meet customer needs and business objectives.
• Develop secure, high-quality production code and participate in code reviews, debugging, and troubleshooting to ensure adherence to coding standards.
• Identify opportunities to automate and remediate recurring issues to improve operational stability and efficiency.
• Manage the full software development lifecycle (SDLC), including requirements analysis, design, development, testing, deployment, and maintenance.
• Evaluate and integrate new technologies, tools, and frameworks to enhance system performance, scalability, and reliability.
• Lead technical sessions with internal teams and external vendors to assess architectural designs and technical solutions for integration.
• Mentor and guide junior engineers, fostering a culture of learning, growth, and technical excellence.
• Stay informed about the latest advancements in software engineering, programming languages, and infrastructure technologies.
• Champion agile methodologies and practices, driving continuous improvement and innovation across the team.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) including Python, RabbitMQ, Cockerroach, React, Django, FastAPI, Flask, Django, and AWS
• Experience in system design, application development, testing, and operational stability
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Modern emerging technologies
• Familiarity with infrastructure technologies, storage systems, or related domains