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:
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
Optimize data persistence with Oracle and NoSQL databases using JPA/Hibernate and performance tuning techniques
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
Skills & Qualifications:
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 DevOps practices
Preferred Qualifications:
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 GitHub 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 (AWS, Azure, GCP)