Lead Software Engineer - Java Dev & Data Engineering

Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the AI/ML & Data Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging 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
• Famiiar with Apache Spark Structured Streaming/ Apache Flink
• Exposure to cloud technologies