JPMorgan Chase-posted 2 months ago
Full-time • Senior
Plano, TX

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Senior 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.

  • 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 AI/ML solutions to address impactful business needs
  • Working with other team members to productionize end-to-end AI/ML solutions
  • Engaging in research and development of innovative relevant solutions
  • 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, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects
  • Experience in the application of AI/ML to a relevant field
  • Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised
  • Good experience in natural language processing (NLP) and its applications
  • In-depth knowledge of the financial services industry and their IT systems
  • Proficient in all aspects of the Software Development Life Cycle
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