Key Responsibilities
- 1 Technical Leadership & Application Development
- Architecture & Design: Lead the architectural design and development of high-throughput, low-latency Java Microservices tailored for real-time fraud detection and analytical scoring.
- Integration Rails: Establish secure, resilient, and high-performance integration rails with Internal/External Fraud Risk scoring platforms and credit bureaus.
- Messaging & Event-Driven Architecture: Architect and implement robust messaging solutions utilizing Kafka for real-time event streaming /IBM MQ for reliable enterprise message queuing.
- Code Quality & Standards: Set and enforce high standards for code quality, security, and performance through rigorous code reviews, automated testing, and adherence to enterprise security standards.
- 2 Cloud Infrastructure & DevOps Engineering
- Infrastructure: Lead the design, provisioning, and management of secure, scalable cloud infrastructure (AWS/Snowflake cloud environments)/ OpenShift Clusters for application deployment and to support analytical workloads from Vendor.
- CI/CD Pipeline Automation: Establish, optimize, and maintain end-to-end CI/CD pipelines to ensure rapid, secure, and automated deployment of fraud detection services.
- Resilience & Scalability: Implement containerization and orchestration strategies (e.g. OpenShift, EKS) to guarantee high availability, auto-scaling, and disaster recovery capabilities.
- Observability & Monitoring: Set up comprehensive logging, tracing, and monitoring frameworks to proactively identify and resolve system bottlenecks.
- 3 Team Management & Stakeholder Engagement
- People Leadership: Manage, mentor, and grow a cross-functional team of Java Developers, DevOps Engineers, and Integration Specialists.
- Agile Delivery: Drive agile development methodologies (Scrum/Kanban), ensuring timely delivery of project milestones and continuous improvement.
- Stakeholder Communication: Act as the primary technical liaison for senior leadership, external vendors, and Business/OPS partners regarding fraud technology initiatives.
- 4 Domain & Soft Skills
- Payments Knowledge: Strong understanding of payment processing rails (e.g., ACH, Wires, DFT, Instant Payments).
- Fraud & Risk Domain: Prior experience building fraud detection, AML (Anti-Money Laundering), or risk-scoring systems in a banking or fintech environment.
- Analytical Mindset: Experience deploying machine learning models or analytical scoring engines into real-time production environments.
- Leadership: Exceptional communication, stakeholder management, and team-building capabilities.
- 5 Education & Experience
- Bachelor’s or master’s degree in computer science, Software Engineering, Information Technology, or a related field.
- 10+ years of professional software development experience, with at least 4+ years in technical leadership or engineering management role.
- Proven track record of working in a DevOps-centric development environment with hands‑on experience building cloud infrastructure.
Job Family Group
Technology
Job Family
Applications Development
Time Type
Full time
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