Location: Plano, TX, United States

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 Enterprise Technology 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

 

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect

 

 

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. 

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

Drive significant business impact and tackle a diverse array of challenges that span multiple technologies and applications