Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the  AI/ML & Data Platforms 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

 

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 otherIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemLeads 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, opportunity, inclusion, and respectProvide insightful code reviews and take ownership of outcomeHeavily uses Python, Snowflake and AWS technologiesDevelop and communicate Product vision that supports the broader organizational vision; ensure team culture consistently demonstrates alignment with leadership principles.Leading a team of junior developers, including talent sourcing and development initiatives.

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityFluency in Python Proficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityIn-depth knowledge of the financial services industry and their IT systemsPractical AWS cloud native experience

 

Preferred qualifications, capabilities, and skills

Good to have Java, Spark.