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 Infrastructure Platforms 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 - Build and enhance self-service tools, APIs, and interfaces that empower users to request, manage, and monitor database resources with minimal manual intervention
- Integrate database automation workflows with enterprise platforms, CI/CD pipelines, and cloud/on-prem infrastructure using scripting languages (Python, etc.) and automation frameworks
- Execute creative software solutions, design, development, and technical troubleshooting by thinking beyond routine or conventional approaches to build solutions or break down technical problems
- Develop 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 overall operational stability of software applications and systems
- Lead 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
- Design, develop, and optimize complex T-SQL queries, stored procedures, functions, and triggers to support business applications and data processing needs
- Deliver hands-on practical experience in system design, application development, testing, and operational stability
- Collaborate with cross-functional teams to deliver business solutions and ensure operational stability and performance of developed applications
- Drives team adoption of enterprise-authorised 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-authorised AI-assisted development and automation capabilities, to improve the value realised by automation
Required qualifications, capabilities, and skills - Formal training or certification on software engineering concepts and 5+ years applied experience
- Extensive experience in coding applications using ReactJS / NodeJS/ Python / Django / Databases.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s), exhibit excellent Python programming skills
- 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
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- 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 - Practical cloud native experience
- Ability to initiate and implement ideas to solve business problems
- Advanced development experience in one(Python preferred) or more programming language(s).
- Passion for learning new technologies and driving innovative solutions.
- Extensive working experience in Database technologies is preferred.
