As a Lead Software Engineer at JPMorgan Chase within the Consumer and 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
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others
- 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.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Proficiency developing backend services in Java with Spring Boot within microservices architectures.
- Ability to design and implement RESTful web services and APIs.
- Hands-on experience defining cloud infrastructure as code with Terraform and operating services on AWS.
- Experience containerizing and orchestrating applications with Docker and Kubernetes.
- Practical experience with relational and NoSQL databases, including Postgres, Cassandra, MongoDB, and Redis.
- Experience building and maintaining event streaming solutions using Kafka or RabbitMQ.
- Well-versed in DevOps and SRE practices, including CI/CD with Jenkins and observability using Splunk and Grafana.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
Preferred qualifications, capabilities, and skills
- Cloud certification in AWS.
- Experience implementing observability and SRE practices using Splunk and Grafana.
- Experience with performance tuning, capacity planning, and reliability engineering for high-throughput services.
- Familiarity with secure coding practices and threat modeling.