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

Bring your Lead Software Engineering skills to the next level by joining our AIML & Data Platforms Team. In this role you will Architect, design, and develop multiple AI products for core AI and Machine Learning (ML) team leveraging generative AI, natural language. You will also mentor other software developers and data scientists and give guidance to developers on the team. 
 

As a Lead Software Engineer at JPMorgan Chase within Corporate Sector AIML & Data Platforms 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Works with business stakeholders, product teams, and other technology teams to finalize software solutions in-line with the strategic end-state.  Leads efforts to solve business problems through the delivery of high-quality, cloud-centric software embracing modern software practices and technology. Architects, design, and develops multiple AI products for core AI and Machine Learning (ML) team leveraging generative AI, natural language processing and other AI-ML technologies.  Mentors’ other software developers and data scientists and give guidance to developers on the team.  Determines timelines for different product features and communicate them to business stakeholders.  Allocates work to team members and lead Agile scrum development through daily scrum meetings. Lead the architecture and design efforts for backend services as well as the web front end. Performs data modeling for different AI software solutions, decide data persistence strategies, and create data pipelines.  Establishes coding standards for committing codes into different repositories and perform code reviews.  Maintains responsibility for product deployments on public and private clouds and ensure server costs are properly managed through regular monitoring and tuning.  Performs test-driven back-end development, as well as test-driven front-end development.  Contributes to test-driven AI and ML model development and improvement. 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience. Hands-on practical experience delivering system design, application development, testing, and operational stability and Agile SDLC. Advanced in following languages Python, React, NodeJs, Javascript Proficient in following technologies, Redux, Web sockets, JEST, GraphQL 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.) In-depth knowledge of the financial services industry and their IT systems Experience in microservice design pattern, data structures and algorithms. Experience with cloud services like AWS, Experience working in global setup and have ability to interact with clients.

Preferred qualifications, capabilities, and skills

Exposure to python libraries such as pandas, SciPy and NumPy Exposure to python concurrency through python multiprocessing Exposure to grid computing concepts would be advantageous. Knowledge of the financial services industry and their IT systems