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We are seeking a highly skilled and experienced C12 Lead Engineer with a strong and balanced background in Java Microservices Development and Artificial Intelligence (AI) / Machine Learning (ML) integration. In this critical role, you will be responsible for designing, developing, and maintaining robust, scalable, and high-performance Java-based microservices, while also seamlessly integrating 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 both advanced microservices and AI-driven solutions within a complex financial services environment.
Key Responsibilities
- Architect and Design: Lead the design and architecture of high-volume, low-latency Java microservice systems and sophisticated solutions for the integration and deployment of AI/ML models.
- Development and Implementation: Develop clean, efficient, and well-documented code for core microservice components, APIs, AI-driven services, and related systems using Java and its ecosystem.
- Performance Optimization: Identify and resolve performance bottlenecks, ensuring optimal performance and scalability of both microservices and AI-integrated components.
- Technical Leadership: Provide technical leadership and guidance to development teams, fostering best practices in software development, AI integration, and microservices architecture.
- Code Quality and Standards: Ensure adherence to coding standards, security policies, and architectural guidelines, performing code reviews and promoting a culture of quality across all development efforts.
- Troubleshooting and Support: Diagnose and resolve complex technical issues across the microservice and AI/ML integration 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, intelligent solutions.
- Innovation: Stay abreast of emerging technologies, particularly in the Java ecosystem, microservice patterns, and AI/ML operationalization (MLOps), recommending and implementing innovative solutions to drive business value.
- Documentation: Create and maintain comprehensive technical documentation, including design specifications, API documentation, and operational guides for both microservices and AI/ML components.
Required Qualifications
- Experience: 7+ years of extensive experience in software development with a strong and proven focus on Java Microservices, enterprise application integration, and significant hands-on experience in AI/ML integration.
- Java Expertise: Expert-level proficiency in Java (JDK 11+) and core Java ecosystem (Spring Boot, Spring Cloud, Hibernate, Maven/Gradle).
- Microservices & Middleware Technologies: Deep experience with microservices architectures, distributed systems, message brokers (e.g., Kafka, RabbitMQ), and API gateways.
- 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: Demonstrated expertise in integrating AI/ML models into production systems, including a thorough understanding of model deployment, inference, scalability, 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 of both software and AI/ML pipelines.
- 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 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 within cross-functional teams.
- 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 into Java applications.
- 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 related to both software development and AI/ML.
- Contributions to open-source projects or relevant technical communities.
What We Offer
- A dynamic and challenging work environment at the forefront of financial technology, Java Microservices, and AI innovation.
- Opportunity to work with cutting-edge technologies and drive strategic initiatives in both software architecture and intelligent systems.
- Competitive compensation and benefits package.
- Continuous learning and professional development opportunities in both core engineering and advanced AI/ML.
- A collaborative culture that values innovation, teamwork, and technical excellence.
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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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