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

As a Senior Lead Software Engineer at JPMorgan Chase within Consumer and Community Banking, 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

Design, develop, and implement Generative AI (GenAI) and Agentic AI solutions utilizing advanced Python programming techniques to optimize automation and enhance decision-making algorithms.Collaborate with cross-functional engineering teams to seamlessly integrate AI technologies into existing architectures, employing Python for the development of scalable and robust AI solutions.Perform in-depth analysis and interpretation of complex, high-dimensional data sets using Python libraries such as NumPy, Pandas, and TensorFlow to generate AI-driven insights and actionable recommendations.Provide expert-level technical guidance and strategic direction to support business objectives, working closely with technical teams, contractors, and vendors to ensure alignment with best practices.Develop secure, efficient, and high-quality production code, employing rigorous code review and debugging processes to maintain code integrity and performance.Lead architectural and design decisions that impact product design, application functionality, and technical operations, ensuring alignment with industry standards and best practices.Serve as a subject matter expert in specialized areas such as machine learning algorithms, natural language processing, or neural network architectures, providing deep technical expertise across the organization.Actively contribute to the engineering community by advocating for the adoption of firmwide frameworks, tools, and best practices within the Software Development Life Cycle (SDLC).Influence peers and project stakeholders to adopt and implement cutting-edge technologies, driving innovation and continuous improvement within the organization.

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience Advanced knowledge of AWS services, including Lambda, ECS, and RDS. Experience in designing and deploying cloud-native applications that leverage serverless computing, container orchestration, and managed database services for optimal performance and cost-efficiency.Proficient in workflow design and business rules management, with hands-on experience using BPM toolsets such as Camunda. Ability to model complex business processes and automate decision-making to improve operational efficiency.Hands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s)Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, , etc.)Ability to tackle design and functionality problems independently with little to no oversightExperience in Computer Science, Computer Engineering, Mathematics, or a related technical fieldPreferred qualifications, capabilities, and skillsPractical cloud native experienceHold relevant certifications such as AWS Certified Solutions Architect, AWS Certified Machine Learning Specialty, or AWS Certified Developer to demonstrate expertise in cloud technologies and AI integration.Continuously pursue professional development and certification opportunities to stay abreast of emerging technologies and maintain cutting-edge skills in AI and cloud computing.