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 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 frameworks 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 the 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
* Experience as a software engineer.
* Hands-on practical experience delivering system design, application development, testing, and operational stability.
* Advanced in one or more programming languages - Python and Java.
* 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.
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