Summary
What you’ll impact
The Vice President, Full-Stack Engineer at the organization will develop and maintain backend services, design databases, and build frontend components while collaborating on API design and data initiatives. The role involves using Docker, Kubernetes, CI/CD practices, and working with stakeholders to deliver end-to-end projects. The position is based in Lake Mary, FL and requires 5-7 years of full-stack development experience.
Responsibilities
What you'll do
- Develop and maintain backend services and build and integrate frontend components.
- Design and optimize relational and NoSQL databases; implement stored procedures, partitioning and data modeling.
- Use Docker and Kubernetes for containerization; apply CI/CD best practices to streamline deployments and enforce code quality.
- Collaborate on API design and integration, ensuring secure and efficient inter-process communication.
- Participate in code reviews and change control processes, with a focus on performance, memory tuning, and maintainability.
- Support data initiatives by enabling access to large datasets, integrating with analytics tools, and contributing to data documentation and reporting.
- Develop and maintain data visualization dashboards and ensure responsive, cross-browser compatible UI experiences.
- Collaborate with stakeholders to deliver projects end to end.
- Work with other engineers to elevate technology and follow best practices. Collaborate with the team on overall efforts.
Requirements
What you’ll bring
- Bachelor's degree in computer science engineering or related discipline, or equivalent work experience.
- 5-7 years of professional software development experience across backend and frontend technologies.
- Proficiency in Java (Java 8+), Spring Boot, REST APIs, and microservices architecture.
- Experience with frontend frameworks such as Angular, RxJS, Material and Bootstrap.
- Strong database experience with Oracle and MongoDB, including data modeling, query optimization, aggregation pipelines, and stored procedures.
- Familiarity with containerization and cloud environments (e.g Docker and Kubernetes).
- Understanding of CI/CD processes, code reviews and secure coding practices.
- Ability to work with APIs for integration and communication across systems.
- Skilled in scripting and tooling - experience with Linux scripting, AppDynamics, DBeaver, Swagger and virtual data modelling is preferred.
- Comfortable operating across the full development lifecycle - from designing backend logic to building and integrating user interfaces.
- Exposure to Snowflake, Data Science and Analytics is a plus - experience with large dataset analysis, machine learning model deployment, and reporting is highly valued.
- Not require sponsorship for employment visa status (now or in the future) in the region where they apply