Python/AWS Senior Lead Software Engineer

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 stability
• Advanced 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 oversight
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

• Practical cloud native experience
• Hold 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.