Senior Engineer, Java Full Stack

** This position follows our hybrid workstyle policy:
Expected to be in a Raymond James office location a minimum of 10-12 days a month.*
* ** _

Please note:

This role is not eligible for Work Visa sponsorship, either currently or in the future._*
* ** Responsibilities*
* + Design, develop, test, deploy, and support scalable, high-performance full stack applications using Java, Spring Boot, REST services, Angular, and relational databases.

+ Analyze system requirements and identify program interactions, data flows, and appropriate interfaces between impacted components and subsystems.

+ Participate actively in architecture, design, and code reviews to ensure scalable, secure, and maintainable solutions.

+ Lead development efforts for iterative project deliverables across the software development lifecycle (SDLC), including planning, coding, testing, deployment, and operational support.

+ Guide engineers by promoting technical excellence, curiosity, and sound engineering principles.

+ Collaborate with cross-functional partners (Product, Design, QA, Dev Ops, Project Management) to translate business requirements into high-quality technical solutions.

+ Build strong relationships with Development Managers, Engineers, and Project Managers across teams to drive alignment and delivery.

+ Champion Agile methodologies and contribute technical leadership in sprint planning, backlog refinement, and release execution.

+ Continuously raise the bar on engineering excellence through adherence to coding standards, testing discipline, CI/CD best practices, and operational readiness.

+ Stay current with emerging technologies, frameworks, and tools; develop proof-of concepts to evaluate and drive innovation where appropriate.

** AI-Enabled Engineering Practices*
* + Apply AI pair-programming tools (e.g., Git Hub Copilot / Copilot Chat) to accelerate development, refactoring, documentation, and test creation-while maintaining full ownership and accountability for code quality.

+ Use structured prompt engineering techniques (clear task framing, constraints, examples, iterative refinement) to generate accurate, secure, and maintainable code suggestions.

+ Integrate AI into the inner development loop (IDE) for unit and integration test generation and rapid validation of functionality.

+ Leverage AI tools to review diffs, suggest improvements, and surface potential defects early; ensure all AI-generated output is validated through testing and peer review.

+ Partner with product and design teams to translate user stories into high-quality prompts and working code; maintain reusable prompt libraries and playbooks.

+ Utilize AI to automate repetitive engineering tasks (scaffolding, boilerplate, data transformation) to focus on complex problem-solving and architectural design.

+ Perform other duties and responsibilities as assigned.

** Core Technical Skills*
* + Strong experience in Java and J2EE development.

+ Proficiency in building RESTful services using Spring Boot.

+

Experience with ORM frameworks (Hibernate preferred).

+ Hands-on expertise writing advanced PL/SQL, stored procedures, and performance-optimized queries.

+

Experience with Angular (Angular 12+ preferred), JavaScript, HTML5, CSS3, responsive design, and reactive programming concepts is a plus.

+ Solid understanding of system design, API design, data modeling, and application performance tuning.

+ Strong debugging, problem-solving, and analytical skills.

** AI-Augmented Development Expertise*
* + Hands-on experience using Git Hub Copilot (or equivalent AI coding assistants) within modern IDEs (VS Code, Jet Brains, Windsurf), including chat-based workflows and inline completions.

+ Demonstrated prompt engineering capability: crafting, iterating, and evaluating prompts; decomposing work into AI-friendly steps; applying guardrails and constraints to ensure secure and maintainable outputs.

+ Ability to critically evaluate AI-generated code for correctness, security, performance, scalability, and readability, supported by disciplined debugging and strong test practices.

+ Working knowledge of secure AI usage in enterprise environments, including protection of secrets/PII, adherence to data boundaries, and compliance with organizational policies.

+ Experience leveraging AI to support test-driven development (TDD), including generating tests, validating behavior, and enforcing coverage and quality thresholds.