Lead Software Engineer - Observability & Platform Health Monitoring

About the role

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 the Corporate Technology, Identity & Access Management organization, 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.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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
• 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
• Owns the architecture and multi-quarter technical roadmap for a multi-service observability platform running on Kubernetes, including the shared internal library contracts every service consumes and the versioning and migration strategy across consumers
• Designs the data layer end to end: schema and query design against distributed SQL and large-scale Oracle datasets, plus the migration tooling and rollback strategy that keeps changes safe in production
• Defines the observability model, owning how the platform emits and publishes metrics, logs, and traces, and setting the standard for what constitutes a meaningful signal versus noise
• Serves as the senior technical voice to leadership, control partners, and internal audit, translating platform evidence into decisions and control requirements into engineering work