Principal Engineer, Java Development; Trading
Listed on 2026-02-06
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Software Development
Software Engineer, Cloud Engineer - Software, Full Stack Developer, DevOps
We are seeking a hands‑on, technically exceptional Principal Engineer to join our high‑performing Trading Services engineering team. This is a unique opportunity to help architect and deliver world‑class services that power the mission‑critical trading 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 trading platforms.
We are seeking a hands‑on, technically exceptional Principal Engineer to join our high‑performing Trading Services engineering team. This is a unique opportunity to help architect and deliver world‑class services that power the mission‑critical trading 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 trading platforms.
This position follows our hybrid work‑style 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.
- Write production‑grade code and enforce engineering best practices through hands‑on leadership
- Architect and implement resilient, high‑throughput microservices using Java and Spring Boot
- Drive containerization strategy and deployment modernization using Docker and Kubernetes
- Design and optimize event‑driven architectures leveraging JMS, IBM MQ, and Kafka
- Implement advanced caching strategies with Ignite and Redis for low‑latency performance
- 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
- Exceptional communication and collaboration skills
- Proven ability to lead complex technical initiatives and shape architectural strategy
- Deep expertise in Java, Spring Framework, and designing scalable microservices architectures
- Strong understanding of RESTful API design principles and event‑driven system patterns
- Proven understanding of Java concurrency, including thread management, synchronization, and performance tuning, with in-depth knowledge of JVM internals (garbage collection, memory management, runtime profiling)
- Proficiency in messaging systems such as JMS and Kafka, including message‑driven design and integration
- Hands‑on experience with containerization and orchestration using Docker and Kubernetes
- Extensive experience with Oracle databases, including schema design and integration via JPA, JDBC, and Hibernate
- Solid grasp of Agile methodologies (TFS), source control (Git), CI/CD pipelines (Jenkins), and Dev Ops practices
- Background in financial services domains such as trading or wealth management is highly desirable
- Hands‑on experience with generative AI tools, including OpenAI ChatGPT, Google Gemini, and Git Hub Copilot
- Working knowledge of monitoring and observability platforms such as Datadog, Dynatrace, and Splunk
- Expertise in API management using Apigee for secure, scalable integrations
- Practical experience deploying and managing applications on cloud platforms…
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