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 JPMorgan Chase within the Finance Technology team, you are an integral part of an agile group that delivers trusted, market-leading technology products in a secure, stable, and scalable way. You drive significant business impact through your capabilities and contributions, applying deep technical expertise and problem-solving skills to tackle diverse challenges across multiple technologies and applications. You will help foster a collaborative team culture and support the advancement of technology within the Corporate Technology division.
Job responsibilities- Executes creative software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to build solutions or break down technical problems
- Develops secure, high-quality production code, and review and debug code written by others
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems - Leads evaluation sessions with external vendors, startups, and internal teams to probe 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
- Sets and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establish measurable expectations and ensure consistent validation, security, resiliency, and reuse of proven patterns
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets
Required qualifications, capabilities, and skills- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in Java, React JS, and Spring Boot Framework
- Experience in AWS ECS, EKS, and Terraform
- Demonstrated proficiency in development using agentic development tools, Copilot, and Claude Code
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning)
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working, measuring outcomes, and ensuring secure handling of sensitive inputs/outputs
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns
Preferred qualifications, capabilities, and skills- Familiarity with Databricks
- Exposure to cloud technologies
- Experience with Typescript
- Knowledge on API / Microservices
