Lead Software Engineer - Backend/Java/Cloud

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking, 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:

• Design, implement, and maintain scalable and reliable payment technology platforms.
• Collaborate with development and operations teams to ensure seamless integration and delivery of new features and fixes.
• 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.
• Monitor system health, performance, and security, and proactively address issues.
• Drive root cause analysis and implement solutions to improve platform stability and reliability.
• Maintain and enhance platform documentation, operational runbooks, and automation scripts.
• Participate in change management, release management, and disaster recovery planning.
• Ensure compliance with regulatory, risk, and audit requirements.
• Mentor and manage a high-performance delivery team, providing technical direction and ensuring high quality deliverables.
• Ensure the team delivers timely key milestones supporting a clear roadmap and requirements.

Required qualifications, capabilities, and skills:

• Formal training or certification in Software Engineering and 5+ years applied experience
• 8+ years of software development experience
• 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
• Clarify and defend architecture and design decisions and ensure they are practical and feasible to implement by the team
• Partner with technology peers and product owners and lead collaborative efforts to ensure a successful end-to-end project delivery
• Ability to translate functional requirements to technical design and requirements
• Practical experience deploying, managing, and scaling applications in the cloud, utilizing AWS services such as EC2, S3, Lambda, RDS, and IAM for secure and resilient solutions.
• Strong experience in Core Java, Object Oriented, RDBMS (Oracle), SQL, Spring, ORM (JPA/Hibernate) and Unix Scripts
• Experience in architecting and building secure, highly available, resilient, scalable systems leveraging clustering and load balancing of web/app servers and messaging systems (Kafka / MQ Series)
• Hands-on experience with testing frameworks such as JUnit5 and Cucumber to design and build automated functional test suites

Preferred qualifications, capabilities, and skills:

• Experience using NoSQL / BigData Stores (Cassandra, Elastic Search, Cloudera Stack or H-Base) is a plus
• Automate infrastructure provisioning, configuration, and monitoring using modern DevOps tools and practices
• Proficient in implementing CI/CD pipelines using tools such as Jenkins, GitLab CI, Spinnaker, or AWS CodePipeline.
• Experience with Java performance tuning, debugging, and profiling tools (JMeter, Blazemeter)
• Experience with containerization and orchestration (Docker, Kubernetes) for scalable deployments.
• Experience in streaming/aggregation frameworks (Storm, Spark) is a plus
• Strong background in application performance monitoring, troubleshooting, and optimization using tools like Splunk, CloudWatch, Prometheus, Dynatrace, or Grafana.
• Strong understanding of Agile methodology and ceremonies leveraging SDLC tools to improve development (JIRA, GIT, Bitbucket)