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