Lead Software Engineer - Sr. Full Stack Java Engineer
On-siteWesterville, Ohio, United States
Job Summary
Execute creative software solutions through design, development, and technical troubleshooting, applying non-routine approaches to solve complex problems. Develop secure, high-quality production code, review, test, and debug code written by others, while identifying opportunities to automate remediation of recurring issues and improve operational stability. Lead evaluation sessions with external vendors and internal teams to assess architecture and technical fit, and contribute to communities of practice to drive adoption of new technologies. Partner with product and technology stakeholders to translate business needs into technical solutions and delivery plans. This role sits within the Consumer & Community Banking – Sales & Incentive Growth team, where you will help shape design decisions and raise engineering standards through strong collaboration.
Required Qualifications
- Formal training or certification on software engineering concepts
- 5+ years applied experience
- Proficiency across the Software Development Life Cycle, including design, build, test, deploy, and operate
- Advanced understanding of application resiliency and security practices in modern software delivery
- Advanced proficiency in one or more programming languages such as Java, JavaScript, or Python
- Experience building services using Spring Boot
- Experience designing and delivering event-driven solutions using Kafka
- Practical cloud-native experience delivering and operating production workloads on Amazon Web Services (AWS)
- Proficiency in automation and continuous delivery practices, including CI/CD
- Demonstrated depth in at least one technical discipline such as cloud, artificial intelligence, machine learning, or mobile engineering
Desired Qualifications
- Experience leading a small team of engineers (for example, three to six) while remaining hands-on in delivery
- Demonstrated mentoring and coaching of junior engineers through feedback, pairing, and code review
- Experience supporting development of machine learning models, including causal inference approaches
- Experience applying AI-assisted engineering techniques to accelerate delivery and improve quality
- Hands-on experience using Visual Studio Code for debugging web, cloud, and distributed applications
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