Lead Software Engineer - Java Backend
The Lead Software Engineer will design, develop, and troubleshoot secure backend systems within the Consumer & Community Banking division. The role focuses on Java-based development, cloud-native technologies like AWS and Kubernetes, and driving the adoption of AI-assisted engineering practices.
- Compensation
- Not disclosed
- Location
- Plano, TX, United States
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Backend
- Posted
Skills
Must have
- 8+ years of applied software engineering experience
- Advanced proficiency in Java and Spring
- Experience with AWS and Kubernetes
- Experience with Kafka and message queuing systems
- Proficiency in SDLC, automation, and CI/CD
- Experience leading AI-assisted software development tools
Nice to have
- Experience with Apache Spark and EMR
- Experience with BDD using Cucumber and CI using Jenkins/Spinnaker
- Experience with Cassandra, Oracle, or DynamoDB
Full description
As a Lead Software Engineer in Consumer & Community Banking - Digital Utilities, 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
- Execute creative software solutions, including design, development, and technical troubleshooting, with the ability to think beyond conventional approaches to solve complex problems
- Develop secure, high-quality production code, and review and debug code written by others
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented assessment of architectural designs, technical credentials, and applicability within existing systems
- Lead communities of practice across software engineering to drive awareness and adoption of new and leading-edge technologies
- Drive team adoption of enterprise-authorized, AI-assisted engineering practices — including code review, refactoring, test strategy acceleration, and incident analysis — to improve code quality, delivery speed, and operational outcomes
- Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized through automation
- Foster a team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts with eight or more years of applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced proficiency in one or more programming languages, including Java, Spring, AWS, Kubernetes, Kafka, MQ, Cassandra, Oracle, Spark, Control-M, Cloud Foundry, Kubernetes, PowerMock, JMeter, Splunk, Grafana, Dynatrace, Jenkins and etc.
- Proficiency in automation and continuous delivery methods
- Proficiency in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies, including continuous integration and delivery, application resiliency, and security
- Demonstrated proficiency in cloud-native technologies, including experience with Amazon Web Services and Kubernetes