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 Experience in building complex distributed systems using Java (11/17) on AWS. Knowledge of AWS products/services and Kubernetes/container technologies for specific workloads. Good understanding of established patterns, such as stability patterns/anti-patterns, event-based architecture, CQRS, and process orchestration. Real-world experience in building applications on AWS across multi-AZ, multi-region, and multi-cloud vendor environments. Experience in designing architectures that align with business engineering teams' needs. Excellent understanding of modern engineering practices to leverage Public Cloud benefits, such as auto-scaling, with a focus on end-to-end engineering experience supported by tooling and automation Preferred qualifications, capabilities, and skills   Familiarity with modern front-end technologies Familiar with Apache Spark Structured Streaming/ Apache  Flink  Exposure to cloud technologies