Senior Lead Software Engineer

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorganChase in Columbus, OH seeks a Senior Lead Software Engineer to drive secure, scalable technology products within the Consumer & Community Banking Trust & Service Platform. You will lead agile teams, shape architecture, and deliver high-impact solutions using Java, AWS ECS/EKS, and PostgreSQL.

Responsibilities include guiding teams, reviewing code, adopting AI-assisted development practices, and ensuring secure, reliable operations across regions.

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Experience delivering system design, application development, testing, and operational stability.
• Advanced knowledge in one or more programming languages and enterprise AI tools.
• Strong grasp of secure coding and security practices in engineering workflows.

Responsibilities

• Provide technical guidance to business and technical teams including contractors and vendors.
• Develop secure, high-quality production code and review others' work.
• Promote AI-assisted engineering practices to improve quality, speed, and reliability.
• Influence product design, application functionality, and technical operations.
• Act as a subject matter expert across multiple technology domains and drive SDLC improvements.

Skills

Java

AWS

ECS

EKS

PostgreSQL

AI-assisted tooling

Leadership

Security best practices

Education

BS in Computer Science/Engineering

Tools

Splunk

Dynatrace

Grafana

CoPilot

Claude

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 JPMorganChase within the Consumer & Community Banking Trust & Service Platform, 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

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect
• Codes in Java, AWS ECS, EKS, and Postgres
• Utilizes AI agents (CoPilot, Claude) to improve quality and delivery timelines

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• 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 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.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• 8+ years engineering experience developing and deploying Java based applications in AWS, ECS, EKS, and Postgres
• Experience in building dashboards using Splunk, Dynatrace or Graffana
• Experience with multi region services deployments

Preferred qualifications, capabilities, and skills

• Experience with multi region service deployments and zero downtime deployment