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Senior Engineer, Java Full Stack

Job in Saint Petersburg, Pinellas County, Florida, 33739, USA
Listing for: Raymond James
Full Time position
Listed on 2026-05-24
Job specializations:
  • Software Development
    Full Stack Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Job Description Summary

Highly specialized expert developing software applications, in entirety or in part, that have a big impact on business for a large organization.

Job Description

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

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…
Position Requirements
10+ Years work experience
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