AI-Capable Java Middleware Engineer

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Job Overview

We are seeking a highly skilled and experienced C12 Lead Java Middleware Engineer with a strong background in Artificial Intelligence (AI) and Machine Learning (ML) integration. In this critical role, you will be responsible for designing, developing, and maintaining robust, scalable, and high-performance Java-based middleware solutions that seamlessly integrate cutting-edge AI/ML models into our enterprise applications. You will lead technical initiatives, mentor junior engineers, and contribute significantly to our architectural strategy for AI-driven services within a complex financial services environment.

Key Responsibilities

• Architect and Design:Lead the design and architecture of high-volume, low-latency Java middleware systems that facilitate the integration and deployment of AI/ML models.
• Development and Implementation:Develop clean, efficient, and well-documented code for core middleware components, APIs, and services using Java and related technologies.
• Performance Optimization:Identify and resolve performance bottlenecks, ensuring optimal performance and scalability of middleware services interacting with AI components.
• Technical Leadership:Provide technical leadership and guidance to development teams, fostering best practices in software development, AI integration, and middleware architecture.
• Code Quality and Standards:Ensure adherence to coding standards, security policies, and architectural guidelines, performing code reviews and promoting a culture of quality.
• Troubleshooting and Support:Diagnose and resolve complex technical issues across the middleware stack, providing expert support for critical production systems.
• Collaboration:Work closely with data scientists, AI/ML engineers, front-end developers, and other stakeholders to understand requirements and deliver integrated solutions.
• Innovation:Stay abreast of emerging technologies, particularly in Java ecosystem, middleware patterns, and AI/ML operationalization (MLOps), recommending and implementing innovative solutions.
• Documentation:Create and maintain comprehensive technical documentation, including design specifications, API documentation, and operational guides.

Required Qualifications

• Experience:8+ years of extensive experience in software development with a strong focus on Java-based middleware and enterprise application integration.
• Java Expertise:Expert-level proficiency in Java (JDK 11+) and core Java ecosystem (Spring Boot, Spring Cloud, Hibernate, Maven/Gradle).
• Middleware Technologies:Deep experience with message brokers (e.g., Kafka, RabbitMQ), API gateways, microservices architectures, and distributed systems.
• Spec-Driven Development:Experience with Spec-Driven Development (e.g., OpenAPI/Swagger for API design) to ensure clear contracts and consistent implementation.
• AI/ML Integration:Proven experience in integrating AI/ML models into production systems, including understanding of model deployment, inference, and monitoring challenges.
• Cloud Platforms:Experience with cloud platforms (e.g., AWS, Azure, GCP, OpenShift/Kubernetes) and containerization technologies (Docker).
• Database Skills:Strong understanding of relational and NoSQL databases (e.g., Oracle, PostgreSQL, MongoDB, Cassandra).
• DevOps/MLOps:Familiarity with CI/CD pipelines, MLOps principles, and tools for automating deployment, testing, and monitoring.
• Problem-Solving:Exceptional analytical and problem-solving skills, with the ability to tackle complex technical challenges in a fast-paced environment.
• Communication:Excellent verbal and and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Leadership:Demonstrated ability to lead technical initiatives, mentor team members, and drive consensus on technical decisions.
• Education:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Preferred Qualifications

• Experience with specific AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn, particularly in the context of integrating models developed using these tools.
• Knowledge of streaming data processing frameworks (e.g., Apache Flink, Spark Streaming) for real-time AI inference.
• Experience in the financial services industry, understanding of regulatory and security requirements.
• Contributions to open-source projects or relevant technical communities.

What We Offer

• A dynamic and challenging work environment at the forefront of financial technology and AI innovation.
• Opportunity to work with cutting-edge technologies and drive strategic initiatives.
• Competitive compensation and benefits package.
• Continuous learning and professional development opportunities.
• A collaborative culture that values innovation, teamwork, and technical excellence.

Join our team and help us build the next generation of intelligent financial applications!

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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