JPMorgan Lead Software Engineer 

United States, New Jersey, Jersey City 

191337175

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, designs, and develop 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. Telecommuting permitted up to 40% of the week.

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 would be advantageous.
• Exposure to grid computing concepts would be advantageous.
• Knowledge of the financial services industry and their IT systems