Senior Vice President, Full-Stack Engineer
About The Position
We’re seeking a future team member for the role of Senior Vice President, Full-Stack Engineer to join our AI Engineering team. This role is located in Lake Mary, Fl. In this role, you’ll make an impact in the following ways: Design and implement scalable, secure, and performant backend services using Java, Spring Boot, and REST APIs. Develop and consume APIs as part of a distributed microservices environment, with a focus on reliability, maintainability, and testability. Design, Build and test AI agents using in-house AI platform and Python to automate complex control-related tasks. Design, develop and test LLM based AI Agents with RAG/Autogen and prompt engineering. Implement structured logging using SLF4J and Log4j, and integrate with monitoring tools and logging aggregators (e.g., Splunk, ELK). Collaborate with DevOps engineers to define and optimize CI/CD pipelines using GitLab, ensuring smooth and secure build, test, and deployment workflows. Drive SRE and operational excellence: define SLIs/SLOs, instrument services (logs/metrics/traces), optimize JVM/heap/GC performance, and lead incident response to reduce MTTR. Apply test-driven development (TDD) and behavior-driven development (BDD) practices using Cucumber, JUnit, and Mockito. Ensure code quality and security by leveraging tools such as SonarQube and Veracode, with a focus on maintainable and compliant code. Own end-to-end delivery of Java-based microservices and platform components; set technical direction, architecture guardrails, and operational KPIs for reliability, security, and performance. Lead a small team (5–10 engineers), driving system-level thinking across services, data, integration, observability, and controls to achieve accelerated outcomes & Mentoring them.
Requirements
- Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required
- 9-11+ years of experience in software development required; experience in the securities or financial services industry is a plus
- Strong expertise and in depth knowledge of Java, Spring Framework (Spring MVC, Spring Boot), design patterns, Microservices architecture, and Restful APIs
- Experience in AI Code Assist Technologies (CoPilot, Claude Code, Windsurf,..)
- Strong understanding of AI agent architecture, solid grounding and prompt engineering
- Strong understanding of DevOps principles, best practice for coding and Agile development
- Proficient in automating CI/CD pipelines on large container platforms (Docker, Kubernetes)
- Batch Monitoring & Job scheduling tools like Airflow, Autosys & Control M.
- Proficient in scripting and SQL, Stored Procedures and transaction management
Nice To Haves
- experience in the securities or financial services industry is a plus
Responsibilities
- Design and implement scalable, secure, and performant backend services using Java, Spring Boot, and REST APIs.
- Develop and consume APIs as part of a distributed microservices environment, with a focus on reliability, maintainability, and testability.
- Design, Build and test AI agents using in-house AI platform and Python to automate complex control-related tasks.
- Design, develop and test LLM based AI Agents with RAG/Autogen and prompt engineering.
- Implement structured logging using SLF4J and Log4j, and integrate with monitoring tools and logging aggregators (e.g., Splunk, ELK).
- Collaborate with DevOps engineers to define and optimize CI/CD pipelines using GitLab, ensuring smooth and secure build, test, and deployment workflows.
- Drive SRE and operational excellence: define SLIs/SLOs, instrument services (logs/metrics/traces), optimize JVM/heap/GC performance, and lead incident response to reduce MTTR.
- Apply test-driven development (TDD) and behavior-driven development (BDD) practices using Cucumber, JUnit, and Mockito.
- Ensure code quality and security by leveraging tools such as SonarQube and Veracode, with a focus on maintainable and compliant code.
- Own end-to-end delivery of Java-based microservices and platform components; set technical direction, architecture guardrails, and operational KPIs for reliability, security, and performance.
- Lead a small team (5–10 engineers), driving system-level thinking across services, data, integration, observability, and controls to achieve accelerated outcomes & Mentoring them.
Benefits
- generous paid leaves
- paid volunteer time
- 401(k) plan
- medical, dental, and vision insurance
- basic life insurance
- vacation and sick time
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
