Lead Software Engineer

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Lead Software Engineer at JPMorgan Chase within our Software Engineering Group, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

• 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.

• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Advanced knowledge of application, data, and infrastructure architecture disciplines
• Understanding of architecture and design across all systems
• Working proficiency in developmental toolsets
• Proficiency in one or more modern programming languages
• Understanding of software skills such as business analysis, development, maintenance, and software improvement
• Pragmatism and the ability to strike the balance between the need for process versus the need to accelerate project delivery and not overburden teams with unnecessary administrative overhead is key.
• Expert in Java, cockroach database , postgres sql, Casandra, Kafka, Spring, Spring Boot, Cloud foundry. 
• Deep understanding of REST & SOAP Protocols. 
• Additionally the candidate should be taking the ownership to drive business goal and leading from front. Knowledge of industry-wide technology trends and best practices

• 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

Preferred qualifications, capabilities, and skills 

• Advantage of having Cloud Certification. 
• Advantage of having AI/ML expertise