Lead Software Engineer - Python Spark

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 at JPMorgan Chase within the Consumer and Community Banking in Wealth Management technology, 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


* Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems


* Develops secure high-quality production code, and reviews and debugs code written by others


* Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems


* Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture


* Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies


* Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years of applied experience


* Hands-on practical experience delivering system design, application development, testing, and operational stability


* Strong hands on working experience Spark and Python.


* Strong hands on working experience on different Hadoop components.

Good understanding of different cluster setups and performance tuning of spark jobs


* Experience in scheduling tools.

Cloud implementation experience with AWS EMR, Kinesis, AWS S3


* Experience on Optimization of big data, Data Pipeline implementations and columnar data formats


* 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, Applicant 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 preferably AWS

Preferred qualifications, capabilities, and skills


* Familiarity with cloud technologies


* Exposure in Database-related programming (both SQL and No-SQL)

Chase is a ...