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
• 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
  
  

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