Technology Director - Enterprise Services & Business Platforms

Raymond James Financial, Inc.
St. Petersburg, FL, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Application Portfolio Management Automation of Tests Cloud Computing Computer Programming Continuous Integration DevOps Disaster Recovery Distributed Systems Machine Learning
+17 more
Systems Development Life Cycle Search Technologies Software Engineering Enterprise Software Applications Large Language Models Prompt Engineering Spring-boot Model Validation Technical Debt Generative AI Event Driven Architecture AngularJS Integration Frameworks Api Design Devsecops Legacy Systems Microservices

Job description

  • Lead multiple technology teams across geographic locations, including managers, architects, technical leads, developers, and analysts.
  • Establish technology strategy and roadmaps aligned with business objectives, enterprise architecture, modernization priorities, and organizational strategy.
  • Own architecture, engineering, delivery, production stability, resiliency, scalability, and technical health across the application portfolio.
  • Provide technical leadership across full-stack development, APIs, microservices, integration frameworks, workflow/decisioning platforms, cloud technologies, Angular, Java/Spring and distributed systems.
  • Drive modernization toward API-first, event-driven, modular, and cloud-ready architectures while reducing technical debt.
  • Maintain accountability for highly available production environments, including incident/problem/change management, disaster recovery, observability, performance, and root-cause remediation.
  • Drive engineering excellence through automation, CI/CD, DevSecOps, automated testing, observability, resiliency, and measurable engineering standards.
  • Champion adoption of AI-assisted software engineering and identify opportunities to apply Generative AI, Machine Learning, and agentic technologies to engineering, operations, and business capabilities.
  • Manage workforce capacity, vendors, technology priorities, and investment decisions while balancing business value, risk, modernization, and technical debt.
  • Develop technology leaders and build a culture of accountability, innovation, collaboration, ownership, and continuous improvement.
  • Communicate technology strategy, risks, incidents, and investment decisions effectively to senior business and technology leaders.
  • Participate in production support and executive escalations, including nights, weekends, and on-call responsibilities when required.

Requirements

  • Significant technology leadership experience managing multiple engineering teams supporting large-scale, business-critical enterprise platforms.
  • Strong experience across the SDLC, including architecture, engineering, modernization, delivery, and production operations.
  • Experience designing and operating large-scale Java/Spring Boot API and microservices platforms including integration frameworks, distributed systems, and full-stack development .
  • Strong understanding of modern solution architecture, including API-first and event-driven architectures, cloud platforms, DevOps/DevSecOps, CI/CD, automation, and observability.
  • Demonstrated experience modernizing legacy applications and operating highly available production platforms.
  • Proven ability to develop technology leaders, manage geographically distributed teams, partner with senior business stakeholders, and influence across organizational boundaries.

Preferred Skills

  • Financial-services, wealth-management, client-onboarding, or enterprise technology experience preferred.
  • Experience with Generative AI/LLMs, Machine Learning, and agentic programming/AI architectures .
  • Familiarity with GenAI patterns including RAG, embeddings, vector search, prompt engineering, model evaluation, and guardrails .
  • Experience using AI-assisted engineering to improve development velocity, quality, modernization, testing, troubleshooting, or production operations.
  • Financial-services, wealth-management, client-onboarding, or enterprise-services technology experience preferred.

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