Lead Software Engineer - AI/ML Platform Reliability

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 AI/ML & Data Platform 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

• 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
• Expertise in programming with Python and cutting-edge software engineering practices.
• Experience in designing and architecting large-scale distributed systems and cloud-native architecture.
• Experience with developing on Cloud, especially AWS, and knowledge in Infrastructure as Code, tools such as Terraform.
• Systematic problem-solving and troubleshooting skills in a complex system.
• Excellent communication skills and ability to represent and present business and technical concepts to stakeholders.
• Self-managed, self-motivated with a strong sense of ownership, urgency, and drive

• Familiar in AI, ML, or Data engineering.
• Familiar in developing Automation frameworks/AI Ops.