Principal Engineer, Application Development

Raymond James•Saint Petersburg, FL

3d•Hybrid

About The Position

We are seeking a hands-on, technically exceptional Principal Engineer to join our high-performing engineering team. This is a unique opportunity to help architect and deliver mission-critical applications that empower Raymond James financial advisors and drive innovation in the financial services industry. The ideal candidate combines deep technical expertise with leadership, thrives in fast-paced environments, and champions clean, modular architecture. You will write production-grade code, optimize complex systems, mentor engineers, and drive innovation through secure, resilient, and high-performance software solutions that shape the future of our financial advisor platforms. Job Description This position follows our hybrid workstyle policy. You will be 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.

Requirements

Exceptional communication and collaboration skills
Proven ability to lead complex technical initiatives and shape architectural strategy
Deep expertise in .Net Core C#, Code as Configuration, and designing scalable microservices architectures
Strong understanding of RESTful API design principles and event-driven system patterns
Proficiency in Azure development
Hands-on experience with containerization and orchestration using Docker and Kubernetes
Experience with SQL Server or Oracle databases, including schema design and integration
Experience with OAuth\SAML\OpenID or similar authentication standards
Solid grasp of Agile methodologies (TFS), source control (Git), CI/CD pipelines (Jenkins), and DevOps practices
Bachelor’s: Computer and Information Science (Required)
General Experience – 10 to 15 years

Nice To Haves

Background in financial services domains such as wealth management is desirable but not required
Hands-on experience with generative AI tools, including OpenAI ChatGPT, Google Gemini, and GitHub Copilot
Working knowledge of monitoring and observability platforms such as Datadog, Dynatrace, and Splunk
Experience in API management using Apigee for secure, scalable integrations
Practical experience deploying and managing applications on cloud platforms (AWS, Azure, GCP)

Responsibilities

Write production-grade code and enforce engineering best practices through hands-on leadership
Modernization of core applications to improve performance, security, adaptability, and maintenance
Drive containerization strategy and deployment modernization using Docker and Kubernetes
Implement advanced caching strategies with Redis for low-latency performance
Migrate applications to leverage modern authentication best practices
Apply generative AI to enhance application intelligence and accelerate developer workflows
Establish robust observability frameworks using Datadog, Dynatrace, and Splunk for proactive monitoring
Collaborate in Agile environments to deliver scalable, high-quality software solutions
Mentor engineers, conduct rigorous code reviews, and influence technical strategy and architecture
Provide production support during releases and incident resolution
Continuously evaluate and adopt emerging technologies to maintain technical leadership