Sr Lead Software Engineer- Python

JPMorgan Chase & Co.•Jersey City, NJ

2d•$171,000 - $260,000

About The Position

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank Markets Data Strategies Engineering team, you will be an essential member of an agile team dedicated to enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable manner. You will drive significant business impact through your capabilities and contributions, applying deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges spanning multiple technologies and applications. In this team, you will play a crucial role as part of the team tasked to drive the architecture, design, and development efforts across the Markets Data Strategies platform. This includes the development and adoption of data-driven AI capabilities as well as leading the platform integration efforts between the Markets Data Lake and Athena, which is JPMorgan's proprietary next generation risk, pricing, and trade management platform built in-house. Our work is focused on business use-cases and collaboration across multiple teams and lines of businesses. The ideal candidate will be adept at driving innovation and standards across a globally dispersed and fast paced organization. This includes working with quantitative researchers and other technology teams to accelerate the adoption of cloud-based data and AI technologies.

Requirements

Formal training or certification in software engineering concepts and 5+ years of applied experience.
Prior experience with Sell-Side analytics platforms (JPMC Athena, SecDB, Quartz, etc.) is a must.
Advanced experience in software design and architecture, with a focus on Python development.
Design and implement software applications and APIs to enhance the Markets Data Lake platform.
Develop microservices and real-time services using technologies such as Kafka streaming.
Experience with big data technologies and AWS Cloud Platform.
Experience with AWS Lake Formation and database technologies, including both relational and NoSQL.
Architect scalable and efficient solutions that align with the firm's federated data lake pattern.
Strong systems engineering and software development skills.
Experience building high-performance, highly available, and scalable systems.
Excellent problem-solving, root cause analysis, and debugging skills.

Nice To Haves

Experience developing APIs and foundational components.
Strong SDLC mindset and familiarity with agile paradigms.
Experience within DevOps, Infrastructure design, and transformation roles.
Experience with scripting and compiled languages, such as Python
Comfortable working across different platforms and languages.

Responsibilities

Design, build, and deliver high-performing applications and frameworks that support the Markets Data Lake Platform and Markets Data and AI Strategy.
Drive innovation, collaboration, and engineering standards across the globally distributed team.
Regularly provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
Develop secure and high-quality production code, and review and debug code written by others.
Drive decisions that influence product design, application functionality, and technical operations and processes.
Serve as a function-wide subject matter expert in one or more areas of focus.
Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
Influence peers and project decision-makers to consider the use and application of leading-edge technologies.