Description You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Lead Software Engineer at JPMorgan Chase within Corporate 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 Leads the strategy for our UI estate, driving best practices on UX, architecture and integration with our Back end components Executes creative software solutions, design, develop and innovate across a full stack suite of applications. Thinks beyond routine or conventional approaches to build solutions or break down technical problems Engages directly with our Product Owners and stakeholders to drive the delivery of novel solutions Mentors and guides the next generation of software engineers Develops secure high-quality production code, and collaborate with peers to review and debug code Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Investigates and triages new technologies that can provide benefit to the platform, engage with senior partners to introduce these to the stack Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) 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 Preferred qualifications, capabilities, and skills Knowledge of PySpark & Databricks is desirable Knowledge with MQ, Kafka