Senior Lead Software Engineer - Mainframe/DB2
Columbus, OH · Plano, TXFull-timePosted Aug 1, 2026
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 JPMorganChase 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.
Job responsibilities
As a Senior Lead Software Engineer at JPMorganChase 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.
Job responsibilities
- Contribute as database engineer and development expert, working with application development teams to develop, execute and support database modernization/optimization/performance tuning/design activities
- Provide thought leadership and modernization support to application development (AD) teams through the analysis, migration, and post migration efforts for their database footprints.
- 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, and provide direct support for development teams performing database modernization activities
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale
- Support AD teams in DB design activities, and also troubleshoot the resolution of production database issues and contribute to root cause analysis supporting problem management workstreams
- Perform proactive reviews of database implementations to enhance performance, efficiency, resiliency, and cost optimization
- Contribute to the design and development of tools to accelerate modernization efforts
- Support AD teams in upskilling database development and support competencies
- Partner with other Center Of Excellence teams in setting best practices, guidelines and proper design patterns across various DB technologies
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts with 10+ years of applied experience
- Hands-on practical experience in database system design, performing database development and performance testing, and ensuring operational stability
- 10+ years’ experience working as database engineering for DB2/Mainframe, Oracle, SQL Server, Aurora Postgres, Cockroach DB, and experience with AWS and/or Azure and associated database services
- Experience supporting databases in DevOps and proficient in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls
- 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.)
- Demonstrable experience performing database upgrades and migrations
- Must be able to self-motivate to support delivery whether individually or as part of a team
Preferred qualifications, capabilities, and skills
- Excellent written and verbal communication skills
- Strong desire to master emerging technologies and share experience with other team members
- Ability to adjust and adapt role to support team success
- In-depth knowledge of the financial services industry and their IT systems
- Direct experience with NoSQL databases