Lead Software Engineer Java
JPMorgan Chase · Posted Oct 14
Global banking, investment, credit card, mortgage, and asset management services
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About the role
The Corporate Technology – Risk Technology team at JPMorganChase is an agile group that enhances, builds, and delivers trusted market-leading technology products in a secure, stable, and scalable way, tackling challenges that span multiple technologies and applications. Work centers on Java/Spring Boot services, AWS cloud services and AI/ML capabilities, and enterprise SDLC/TLM automation. As a Senior Lead Software Engineer, the role provides technical direction, develops and reviews production code, drives adoption of enterprise-authorized AI-assisted engineering practices, and influences product design and technical operations decisions.
What you will do
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
- Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
- 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 and support capacity unlock initiatives.
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Skills used in this role
What the employer is looking for
- Formal training or certification on software engineering concepts and 6+ years applied experience
- Hands-on experience in system design, application development, testing, and support
- Proficient in coding in Java (e.g., OOPS, Collections. Streams, Lambdas, Collections, Exception handling)
- Strong knowledge of Spring Boot framework, REST API design principles and best practices Hands-on experience with AWS services including Step Functions, Lambda, S3, ECS/EKS, and API Gateway, with a focus on cloud migration readiness.
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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.
- Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.
- 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 senior engineers/leads on compliant usage patterns and controls.
- Working knowledge of AWS AI/ML and NLP services such as Amazon SageMaker, Bedrock, Comprehend, and Textract
- Experience with Elasticsearch for large-scale search, indexing, and analytics
- Solid understanding of relational databases, SQL, CI/CD pipelines, and agile development practices.
Preferred qualifications
- Familiarity with AI/ML concepts including embeddings (Word2Vec, BERT), NLP techniques, vector search, and retrieval-augmented generation (RAG) patterns.
- Exposure to additional AWS data services such as OpenSearch, Glue, Athena, or Kinesis.
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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