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We are seeking a highly skilled and experienced C12 Lead Engineer with a strong and balanced background in Full stack development - Java Microservices Development, Angular UI development , 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 UI integrations, AI/ML apis 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 Kafka, MongoDb and microservices design.
- Experience of Angular framework and micro-frontends.
- 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------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 7+ years of software development experience focused on Java microservices, enterprise application integration, and AI/ML integration
- Expert proficiency in Java JDK 11+ and the Java ecosystem, including Spring Boot, Spring Cloud, Hibernate, Maven, or Gradle
- Deep experience with microservices architecture, distributed systems, message brokers, and API gateways
- Experience with Spec-Driven Development using OpenAPI or Swagger
- Experience integrating AI/ML models into production systems, including deployment, inference, scalability, and monitoring
- Experience with cloud platforms such as AWS, Azure, GCP, or OpenShift/Kubernetes
- Experience with Docker and containerization technologies
- Strong understanding of relational and NoSQL databases, including Oracle, PostgreSQL, MongoDB, or Cassandra
- Familiarity with CI/CD pipelines, MLOps principles, and automated deployment, testing, and monitoring
- Exceptional analytical, problem-solving, verbal, and written communication skills
- Ability to lead technical initiatives, mentor team members, and drive consensus across cross-functional teams
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Experience with TensorFlow, PyTorch, or Scikit-learn
- Knowledge of Apache Flink or Spark Streaming for real-time AI inference
- Experience with Kafka, MongoDB, and microservices design
- Experience with Angular and micro-frontends
- Financial services industry experience and knowledge of related regulatory and security requirements
- Contributions to open-source projects or relevant technical communities
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
