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 Operations Technology team, 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 break down technical problems
- Develops secure 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
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- 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 of applied experience
- Hands-on experience with data streaming and messaging frameworks (MQ, Kafka, Spark, etc.)Understanding of dependency injection frameworks (Spring / Spring Boot, etc.)Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience with micro services/RESTful API, relational/NoSQL databases, data modeling and data ingestion frameworks.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- 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
- Proficiency in automation and continuous delivery methods
- Practical cloud native experience
- Should demonstrate the ability to quickly adapt to emerging technology trends, particularly in artificial intelligence (AI), and proactively introduce industry best practices to enhance system performance, scalability, and innovation.
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Experience with distributed systems and cloud technologies (AWS, GCP, Azure, etc.)
Preferred qualifications, capabilities, and skills
- In-depth knowledge of the financial services industry and their IT systems
- Cloud certification. Practical cloud native experience
- Lead and mentor engineers. Work closely with development, UAT, Product and operations teams to integrate performance testing and automation into the software development lifecycle
- Design and implement robust automation frameworks and tools to support continuous integration and delivery
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions
- Identify opportunities for process improvements and implement changes to enhance efficiency and effectiveness