As a Lead Software Engineer at JPMorgan Chase, you'll enhance and deliver technology products, design and build solutions, debug code, and evaluate architectural designs. You'll drive awareness of new technologies and foster a culture of diversity and inclusion within the team.
Job Description
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
Preferred qualifications, capabilities, and skills
- Familiar in AI, ML, or Data engineering.
- Familiar in developing Automation frameworks/AI Ops.
Top Skills
AWS
Python
Terraform
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