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 Development Engineer in Python at JPMorgan Chase within the Global Architecture and Engineering, you are an integral part of a team that works to develop high-quality test framework for various software applications and platform products. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.

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 problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads 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 architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, equity, inclusion, and respect

 

Required qualifications, capabilities, and skills

Experience as a software engineerHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s) - Python and JavaProficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated 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 systemsPractical cloud native experience