Senior Lead Software Engineer - Database Engineer

JOB DESCRIPTION

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan

Chase within the Consumer and Community Banking Administration - Consumer Banking Technology 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

• Provide direct support for development teams performing database modernization activities and serve as a function-wide subject matter expert in one or more areas of focus
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies, providing recommendations on database technology based on applications for the business requirements and needs
• Contribute as database engineer and development expert, working with application development teams to develop, execute and support database modernization, optimization, performance tuning and design activities
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Provide thought leadership and modernization support to application development (AD) teams through the analysis, migration, and post migration efforts for their database footprints
• Provide direct support for development teams performing database modernization activities and contribute to the design and development of tools to accelerate modernization efforts
• Partner with PaaS, DBaaS, and Cloud Delivery teams to resolve issues and influence implementation of self service capabilities to support the AD teams
• Participate in tactical and strategic database modernization planning and development of database modernization patterns
• Drives decisions that influence the product design, application functionality, technical operations, processes and partner with other Center Of Excellence teams in setting best practices, guidelines and proper design patterns across various DB technologies
• Support AD teams in DB design activities, troubleshooting and resolving production database issues - contributing to root cause analysis supporting problem work streams to upskill database development and support competencies for database issues that support problem management work streams

• Formal training or certification in software engineering concepts and 5+ years applied experience
• Hands-on practical experience in database system design, performing database development and performace testing and ensuring operational stability
• Advanced in one or more programming language(s) and framework(s) (i.e., Tigergraph, Oracle, Sql Server, Aurora Postgres, Cockroach DB, Mongo DB, etc.)
• Perform proactive reviews of database implementations to enhance performance, efficiency, resiliency, and cost optimization
• Experience supporting databases in Dev Ops and proficient in automation and continuous delivery methods
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Proficient in all aspects of the Software Development Life Cycle and advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrate proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artifical intelligence, machine learning, mobile, etc.)
• Demonstrate ability to perform database upgrades and migrations to tackle…