Jobs at Citi

Develop and support new or revised applications in coordination with technology teams. Analyze code and systems, identify enhancements and vulnerabilities, design and implement Java solutions, and perform testing and debugging. Consult with users and technology groups, resolve application issues, recommend solutions, and provide guidance to junior analysts. The role requires Java, Spring Boot, Angular or React, CI/CD, database, automation, and unit-testing experience.

Develop and deliver scalable Java applications for derivatives credit risk and counterparty exposure management across the full software development lifecycle. Provide technical leadership, mentor developers, collaborate with global engineering and support teams, and contribute to architecture, testing, deployment, DevOps, distributed caching, database integration, and modernization of complex applications.

Provides technical and business support for enterprise applications, maintaining stability, monitoring production environments, resolving incidents, managing risks, supporting releases, and improving application processes. Partners with users, traders, technology teams, and vendors; documents procedures, assesses production impacts, supports contingency planning, and contributes to automation and efficiency initiatives. Serves as a subject matter expert and coach while operating independently and escalating issues within service-level expectations.

Leads API and microservice integration architecture for AI automation platforms. Designs and delivers Java Spring Boot services, API governance, event-driven integrations, security controls, observability, performance testing, and Kubernetes deployments. Partners with AI and UI engineers to expose LLM, RAG, and agentic workflows through secure enterprise APIs. Sets technical direction, conducts architecture reviews, and mentors engineers while ensuring financial-industry compliance and production reliability.

Build and maintain data pipelines, metrics, KPIs, reports, and interactive dashboards for access-control and client-services environments. Analyze multi-source data to identify trends, anomalies, and security risks. Develop predictive models and AI workflows, automate reporting, improve data quality, and communicate actionable insights to stakeholders and leadership. Collaborate with operations, engineering, cybersecurity, and governance teams.

Leads multiple global engineering teams responsible for architecting, building, and operating a resilient, active-active payment platform. Owns the technical strategy and multi-year roadmap, selects technologies, advances AI-assisted development and automated testing, and ensures high availability across regions. Partners with risk, compliance, infrastructure, and business stakeholders on security, disaster recovery, regulatory requirements, and delivery alignment. Develops engineering talent and drives reliable, continuous production deployments.

Develop and support new or revised applications, covering feasibility, analysis, design, development, testing, implementation, security, and user support. The role evaluates complex application and business-process issues, recommends programming solutions, manages risks and standards, advises stakeholders, and mentors junior analysts. Requires independent judgment, project implementation experience, and the ability to manage deadlines and changing requirements.

Designs and deploys infrastructure and middleware solutions across Kubernetes and OpenShift, including Java, Python, Node.js, messaging, databases, and web platforms. Performs incident recovery, root-cause analysis, traffic management, operating system administration, and infrastructure optimization. Defines hardware and process requirements, develops metrics and analytical tools, advises stakeholders, coaches junior analysts, and contributes to technical strategy, compliance, and risk management.

Leads multiple engineering teams responsible for application development and delivery. Provides strategic and technical leadership, manages personnel, establishes standards, resolves complex application issues, and influences senior stakeholders. The role requires extensive experience with Java, microservices, cloud-native architecture, distributed systems, databases, CI/CD, event-driven design, container orchestration, Agile methodologies, and scalable, resilient applications.

Develop and maintain full-stack applications throughout the lifecycle, using Java, Spring Boot, microservices, REST APIs, Oracle, MongoDB, Angular, and TypeScript. Analyze complex systems, design resilient solutions, test and implement applications, manage risk and compliance, and provide technical expertise to stakeholders. Serve as a subject matter expert, work independently, and mentor junior analysts. Preferred experience includes CI/CD, Docker, Kubernetes, cloud platforms, infrastructure as code, observability, and automated testing.

Develops and implements new or revised application systems, conducting analysis, design, testing, implementation, and user support. Evaluates complex application and business-process issues, recommends programming and security solutions, manages development activities, and advises stakeholders. The role also supports risk assessment, compliance, operational standards, project delivery, and coaching junior analysts while working independently with limited supervision.

Lead performance testing and engineering for complex, distributed payment applications. Design and execute load, stress, volume, capacity, scalability, chaos, and resiliency testing; perform application profiling, database and SQL analysis, messaging and streaming validation, and cloud container performance testing. Identify bottlenecks, provide infrastructure tuning recommendations, manage KPIs and SLAs, develop testing frameworks, automate repetitive tasks, and collaborate with development, architecture, business, and global testing teams.

Develop and deploy enterprise AI/ML solutions for banking reconciliation platforms. Responsibilities include building agentic AI and Generative AI applications, integrating LLMs and machine learning tools, prototyping emerging AI technologies, writing production code, deploying secure cloud-native services, and evaluating model and agent performance. The role requires expertise in Python, LLMs, RAG, vector databases, GenAIOps, Docker, and AI system architecture.

Design, build, test, and support secure full-stack applications using Core Java, Spring, ReactJS, REST APIs, and CI/CD practices. Lead software delivery across the lifecycle, analyze complex technical issues, improve system security and performance, collaborate with business and technology stakeholders, establish development standards, and mentor junior engineers. The role supports low-latency, high-availability financial applications with Foreign Exchange domain requirements.

Modernize and optimize Spark data pipelines while migrating from Cloudera Hadoop to Databricks on AWS. Design scalable data models and orchestration patterns, develop Delta Lake solutions, improve performance, build reusable components, and implement testing and validation. Collaborate with architects, platform teams, DevOps, and global stakeholders on technical decisions, production releases, troubleshooting, and continuous platform evolution.

Own and prioritize technology product backlogs for risk and control systems, translating complex business requirements into epics, user stories, and acceptance criteria. Partner with stakeholders, engineering, UX, and technology teams to drive Agile delivery, lead ceremonies, demonstrate functionality, manage risks and dependencies, and ensure high-quality compliant software. Serve as the subject matter expert for assigned Controls Technology modules and leverage AI tools to improve requirements and documentation.

Leads the design, development, modernization, and support of scalable enterprise applications using Java, Spring Boot, microservices, Kafka, and cloud technologies. Drives architecture, technical strategy, engineering standards, performance, resiliency, security, CI/CD, observability, and automation. Provides technical leadership across initiatives, mentors engineers, advises stakeholders, manages technology risks, and applies AI-powered coding tools and agentic software development practices.

Own and prioritize the technology product backlog for risk and controls systems. Translate business requirements into epics, user stories, and acceptance criteria; guide engineering teams through Agile ceremonies; define solutions; champion quality; conduct stakeholder demos; manage dependencies and risks; and serve as a subject matter expert. The role requires strong financial services, risk and controls, technical, Agile product ownership, and stakeholder collaboration experience.

Leads engineering strategy, design, deployment, integration, and operational readiness for enterprise key management systems. Serves as a technical subject matter expert, drives security controls and compliance, develops technology roadmaps, assesses risks and root causes, and oversees projects, budgets, standards, and stakeholder relationships. Mentors engineers, supervises activities, supports process improvements, and delivers global cryptographic key management solutions across complex environments.

Leads a data analytics and PMO function overseeing a multimillion-dollar program portfolio. Governs project tracking, milestones, budgets, resources, risks, and executive reporting. Directs reconciliation and exception-engineering frameworks, data lineage mapping, requirements authoring, and analytics delivery. Partners with senior stakeholders across Markets, Finance, Technology, Risk, Audit, Operations, and Quantitative teams. Manages and develops a team of 6–10 business analysts, project managers, and data analysts while ensuring regulatory compliance and delivery accountability.