Lead Software Engineer Lead Software engineer - Java, Spring Boot, Kafka, AWS, Spark, Copilot/Claude/AI skills
As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking - Trust and Security, 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
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- 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
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Excellent system design skills for designing distributed systems with scalability, resiliency, security, and performance best practices.
- Advanced proficiency in Java (17/21+) and Spring Boot for building scalable RESTful microservices.
Strong command of Kafka for event-driven architectures, including topic design, partitions, consumer groups, and delivery semantics. - Strong experience in Java (Strong hands-on coding expertise), Spring Boot / Spring Framework, AWS Cloud and Kafka (Deep expertise in event streaming and messaging)
- In-depth knowledge of Cassandra for distributed data modeling, partition strategy, and query tuning at scale.
- Extensive experience with AWS data lake & ETL technologies (S3, Glue, EMR, Lambda, Step Functions) and Maven for build/dependency management.
- Solid expertise in containerization and orchestration using Docker and Kubernetes, deploying workloads on AWS EKS and ECS.
- Hands-on mastery of Apache Spark (batch + streaming) for large-scale data processing and performance optimization.Proven capability in Jenkins-based CI/CD automation, including pipelines, quality gates, artifact publishing, and deployments.
- Effective AI utilization to boost development productivity by leveraging AI agents/skills for coding assistance, test generation, refactoring, documentation, and faster troubleshooting.
- 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
- Familiarity with modern front-end technologies.
- Cassandra, Python
Skills Required
- Formal training or certification in software engineering concepts
- 5+ years of applied software engineering experience
- Advanced proficiency in Java 17/21+
- Advanced proficiency in Spring Boot and Spring Framework
- Strong system design skills for scalable, resilient, secure, and high-performance distributed systems
- Strong command of Kafka, including topic design, partitions, consumer groups, and delivery semantics
- Strong experience with AWS Cloud
- In-depth knowledge of Cassandra distributed data modeling, partition strategy, and query tuning
- Extensive experience with AWS data lake and ETL technologies, including S3, Glue, EMR, Lambda, and Step Functions
- Experience with Maven for build and dependency management
- Expertise in Docker and Kubernetes containerization and orchestration
- Experience deploying workloads on AWS EKS and ECS
- Hands-on mastery of Apache Spark for batch and streaming data processing
- Experience with Jenkins-based CI/CD automation, pipelines, quality gates, artifact publishing, and deployments
- Effective use of AI agents and skills for coding assistance, test generation, refactoring, documentation, and troubleshooting
- Experience leading adoption of approved AI-assisted software development tools
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
- Experience coaching engineers on safe and compliant AI-assisted development
- Familiarity with modern front-end technologies
- Experience with Cassandra
- Experience with Python
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 broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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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