Lead Software Engineer – Java & Cloud

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 Java & Cloud at JPMorgan Chase within the  AI/ML Data Platform division 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. The JPMC Advanced Data Ecosystem (JADE) was established as a firmwide public cloud-based data platform comprised of reusable components required by lines of business to establish and migrate machine learnable datasets to the public cloud. The platform makes it available for AI/ML, analytics, and business intelligence use cases. JADE facilitates integration of data controls into the enterprise platform, Data Risk Management Policy and Standards enforced by the Firmwide Data Management (FDM) organization and required controls for management of Data Protection, Quality, Retention & Destruction, Use and Storage risks. The JADE Cataloging Services product line provides data management capabilities that can be integrated with modernized data platforms. This enables users of those platforms to discover firm-wide data assets and meet their specific data risk management obligations with automated processing. The Catalog makes metadata centrally available, connected and accessible and the governance capabilities are integrated with the platform to reduce potential data risks.

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 with applied experience
• Extensive experience in Enterprise Java Technologies using Core Java, Spring Core, Spring Batch etc.
• Experience with Restful Web services
• Good Understanding and working knowledge of API Management and analytics platform i.e. APIGEE.
• Good Understanding and working knowledge of Build Automation Tools and Frameworks using ANT, Maven, Jenkins etc.
• Provides advice, guidance and assistance to Engineers and peers as required
• Excellent relationship building skills with both Technology and Product Owner teams
• Proven experience of working with multiple teams and managing multiple priorities and tasks
• Provision and administer the AWS infrastructure
• Experience with AWS ecs, rds, route 53, glue etc
• Identify improvements to DevOps architecture and implement those improvements accordingly
• Writing Infrastructure as code using Terraform
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) preferably Java
• 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.)
• Practical cloud native experience

• In-depth knowledge of the financial services industry and their IT systems
• Understanding of snowflake and databricks