Lead Software Engineer - Java

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 Asset and Wealth Management, you play a crucial role in an agile team dedicated to improving, developing, and providing reliable, cutting-edge technology solutions that are secure, stable, and scalable. As a key technical contributor, you are tasked with implementing essential technology solutions across diverse technical domains within various business functions to support the firm's strategic goals.

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, opportunity, inclusion, and respect

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Demonstrated hands-on experience with Java, Spring/Spring Boot, Python, Postgres, and SQL-related technologies.
• Hands on experience with AWS data technologies such as ECS, EMR, Glue, Step functions, Lambda, DynamoDB, Athena or SNS/SQS
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Exposure to Data Lake, Data Warehouses, Data Mesh.
• Exposure to Databricks/Snowflake/Starburst, Kafka, Apache Spark, Apache Kafka, Apache Iceberg or equivalent open table format through hands-on experience.
• Exposure to Terraform
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience