Job Description
Pay Rate: $85.00 - $90.00 Negotiable based upon years of experience Global Financial Firm located in Irving, TX has an immediate contract opportunity for an experienced Senior Architect Responsibilities: Lead the design and architecture of high-volume, low-latency Java microservice systems and sophisticated solutions for AI/ML model integration and deployment. Develop clean, efficient, and well-documented code for core microservice components, APIs, and AI-driven services using Java and its ecosystem. Identify and resolve performance bottlenecks, ensuring optimal performance and scalability of microservices and AI-integrated components. Provide technical leadership and guidance to development teams, fostering best practices in software development, AI integration, and microservices architecture. Ensure adherence to coding standards, security policies, and architectural guidelines, performing code reviews and promoting a culture of quality. Diagnose complex technical issues across the microservice and AI/ML integration stack, providing expert support for critical production systems. Collaborate with data scientists, AI/ML engineers, front-end developers, and other stakeholders to deliver integrated, intelligent solutions. Stay abreast of emerging technologies, recommending and implementing innovative solutions to drive business value. Create technical documentation, including design specifications, API documentation, and operational guides for microservices and AI/ML components. Requirements: 10 years of extensive experience in software development with a strong focus on software architecture. Expert-level proficiency in Java (JDK 11) and core Java ecosystem (Spring Boot, Spring Cloud, Hibernate, Gradle). Deep experience with microservices architectures, distributed systems, message brokers, and API gateways. Experience with Spec-Driven Development (e.g., OpenAPI/Swagger for API design). Demonstrated expertise in integrating AI/ML into production systems. Experience with cloud platforms (e.g., AWS, Azure, GCP, OpenShift/Kubernetes) and containerization technologies (Docker). Strong understanding of relational and NoSQL databases. Familiarity with CI/CD pipelines, MLOps principles, and tools for automating deployment, testing, and monitoring. Exceptional analytical and problem-solving skills. Excellent verbal and written communication skills. Demonstrated ability to lead technical initiatives and mentor team members. Preferred Skills: Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Knowledge of streaming data processing frameworks (e.g., Apache Flink, Spark Streaming). Experience in the financial services industry, understanding of regulatory and security requirements. Contributions to open-source projects or relevant technical communities.