Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorganChase within the CORPORATE TECHNOLOGY – Risk Technology 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. 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**.
Skills Required
- 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 Java (OOP, Collections, Streams, Lambdas, Exception handling)
- Strong knowledge of Spring Boot framework and REST API design principles
- Hands-on experience with AWS services including Step Functions, Lambda, S3, ECS/EKS, and API Gateway; cloud migration readiness
- Demonstrated experience leading enterprise-authorized AI-assisted software development tools and setting validation expectations
- Understanding of responsible AI use in engineering workflows and coaching senior engineers on compliant patterns
- 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
- Familiarity with AI/ML concepts including embeddings, NLP techniques, vector search, and RAG patterns
- Exposure to AWS data services such as OpenSearch, Glue, Athena, or Kinesis
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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