We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Lead Software Engineer at JPMorgan Chase within the Asset & Wealth Management line of business, 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.
With us, you can enhance your skills in Python, PySpark, and cloud architecture, while working in an inclusive and respectful team environment. As a core technical contributor, you are responsible for creating technology solutions that interact across multiple applications within various business functions in support of the firm’s business objectives. This role provides an opportunity to contribute to software engineering communities of practice and events that explore new and emerging technologies. You will have the chance to proactively identify hidden problems and patterns in data and use these insights to promote improvements to coding hygiene and system architecture.
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
- Leads initiatives for wealth management marketing software development efforts through depth of marketing systems business acumen.
- 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 applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability for wealth management marketing software solutions
- Hands-on development experience in Python, PySpark, SQL, and AWS services
- Develop and optimize scalable data pipelines and applications using Python and PySpark, ensuring efficient data processing and transformation within the AWS cloud environment.
- 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 practice
- Leverage a solid understanding of AWS services, such as S3 / EMR to design and implement robust data solutions that meet business requirements and enhance data accessibility and analytics capabilities.
- Demonstrated knowledge of software applications and technical processes within a cloud architecture.
- Helping to identify opportunities for improvement within the existing applications to increase stability and simplify the platform
- Demonstrated proficiency with working with a team of engineers and developers to ensure that the platform is engineered to be standardized, optimized, available, reliable, consistent, accessible, and secure to support business and technology needs
- Providing operational excellence through root cause analysis and continuous improvement
- Proficient in all aspects of the Software Development Life Cycle
- Experience with interacting with partners across feature teams to collaborate on reusable services to meet solution requirement
Preferred qualifications, capabilities, and skills
- Exposure to cloud technologies (Step Functions, Lambda, Spark)
- Experience with IaC Terraform is a nice to have
- Experience in the Financial Service Industry