Lead Software Engineer Java, Spring boot, AWS Cloud & AIML

Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within theCORPORATE TECHNOLOGY Risk Technologyyou 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities

• 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.
• 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

Required qualifications capabilities and skills

• 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
• 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 capabilities and skills
• 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**.