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 Enterprise Technology team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve 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 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, opportunity, inclusion, and respect  Developing automated solutions to address impactful business needs,  Working with other team members to productionize end-to-end technical  solutions,  Engaging in research and development of innovative relevant solutions, 

   

Required qualifications, capabilities, and skills 

Formal training or certification on software engineering concepts and 5+ years applied experience  Advanced proficiency in one or more programming languages, including Python.  Hands-on practical experience delivering system design, application development, testing, and operational stability  Proficiency in automation and continuous delivery methods  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.)  Practical cloud native experience  Solid coding level in  Python, with experience in leveraging available libraries to dedicated projects.  Knowledge of AI/ML   Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised. 

  

Preferred qualifications, capabilities, and skills 

In-depth knowledge of the financial services industry and their IT systems  Proficient in all aspects of the Software Development Life Cycle