Lead Software Engineer - Java, Spring boot, SQL, AWS

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 Commercial & Investment Bank's Markets Technology - Broker-Dealer group, you will be 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

• Execute 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
• Write secure, high-quality production code and performs code reviews and debugging for peers.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Lead evaluation sessions with external vendors, startups, and internal teams to drive outcome-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Serve as a function-wide subject matter expert in one or more areas of focus
• Contribute to a team environment that values diversity, opportunity, inclusion, and mutual respect.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience in Java software development and architecture
• Strong knowledge in Oracle, PL SQL, Data Warehouse, Data Lake
• Expertise in complex SQL  joins, correlated sub-queries, aggregate functions analytic functions, materialized views, indexing, partitioning and performance tuning using explain plan etc.
• ETL Architecture, Analysis, design, development, testing, implementation
• Workable knowledge in any of the programming language e.g., Core Java (Java 17+), Spring Boot, REST or Python etc.,
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud for deploying and managing AI solutions.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• 8+ years of current applied experience in Database space

 Preferred qualifications, capabilities, and skills

• Exhibits strong analytical and problem-solving abilities along with strong written and oral communication
• Demonstrates a passion for architectural design that drives innovation across applications and teams
• Demonstrated experience in greenfield development and the ability to work autonomously in fast-paced
• Practical experience with machine learning and AI technologies (such as Python, TensorFlow, and Scikit-learn) is a plus
• Understanding of equities or prime brokerage and familiarity with the trade lifecycle