Lead Software Engineer - Python & AI/ML

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

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector - Infrastructure Platforms, 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

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
•  Proven experience in application design & development
• Proficient in Python and Django/flask 
• Hands-on in Data Science & AI/ML
• Good understanding of algorithms & data structure
• Ability to translate business offering to technical specifications and articulating the business impact of change.
• Hands-on experience with deploying applications to Kubernetes platform, and is good with troubleshooting the applications on cloud
• Proactive in researching new technologies for solving the business problems at hand, especially in python and javascript ecosystems.
• Fluent with data-visualization library d3.js, to be able to propose multiple ways to visualize the data available and implement custom interactive visualizations to the stake holders as per their business requirements.
• Had exposure to general telemetry patterns implemented in the application code-base, and is well aware of general application monitoring tools like appD, sentry, new-relic etc.

• Basic understanding on Network Technologies 
• Exposure to build cloud-native applications