Lead Software Engineer - Chief Technology Office, Cto

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 JPMorganChase within the Chief Technology Organization (CTO), 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. 

Job 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 and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong)

• Hands-on practical experience delivering system design, application development, testing, and operational stability

• Advanced in one or more programming language(s) – Java required

• Hands-on practical experience working with Databases: Amazon Aurora, Postgres (queries, data extraction/manipulation, operations, performance tuning, reliability).

• 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

• Proficient in all aspects of the Software Development Life Cycle

• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

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

• Practical cloud native experience.AWS (hands-on) including services commonly used for scalable applications.

Preferred qualifications, capabilities, and skills

• Experience with Terraform for infrastructure provisioning and environment standardization.

• Experience with Data access: MyBatis (or similar ORM / persistence frameworks) in Java systems.

• Experience with Frontend + Node.js: experience building or supporting modern web frontends and Node.js services.

• Experience with AI-assisted development tooling: GitHub Copilot, Claude Code (using responsibly to accelerate delivery, testing, refactoring, and documentation).

• Strong track record in support work: incident management, triage, post-incident reviews, and operational hardening.