Lead Software Engineer - Python, AWS
Chase bank
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 Commercial and Investment Banking - Applied AI/ML team, 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 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 sessions with internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and on-prem/cloud architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, equity, opportunity, and respectRequired qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experienceExtensive experience in building and running AWS/public cloud based applicationsSolid programming skills with PythonHands-on practical experience delivering system design, application development, testing, and operational stabilityProficiency in automation and continuous delivery methods and all aspects of the Software Development Life CycleExperience of pipelines and DAG's (Directed Acyclic graph) for processing data and/or machine learningDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence smf machine learning.)In-depth knowledge of the financial services industry and their IT systems
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