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Client Servicing Solutions Lead - Senior Vice President

Job in New York, New York County, New York, 10261, USA
Listing for: Citi
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    Backend Developer
Salary/Wage Range or Industry Benchmark: 176720 - 265080 USD Yearly USD 176720.00 265080.00 YEAR
Job Description & How to Apply Below
Location: New York

Client Servicing Solutions Lead - Senior Vice President

Job Req :

Location(s):
Jersey City, New Jersey, United States;
Tampa, Florida, United States

Job Type: Hybrid

Posted:
Jun. 30, 2026

Job Overview

Citi's Investor Services Technology group is seeking an exceptional Software Engineer to lead the development of the Investor Services Workbench (ISW), a unified platform for client onboarding, lifecycle management, operational workflow orchestration, and real‑time business activity visibility across Custody, Fund Services, and Securities Finance.

As a hands‑on technical leader, you will use AI‑assisted development tools to generate production‑ready code and ship features on a continuous cadence. You will embed within ISW delivery squads, contribute to backend services, workflow engines, API layers, and client‑facing features, and serve as a domain authority ensuring a strong understanding of Custody and Fund Services operations.

You will collaborate closely with product owners, UX engineers, data architects, and operations SMEs, and your code, reviews, and domain knowledge will shape how institutional clients and Citi operations teams experience the Workbench.

Responsibilities
  • Hands‑On Feature Delivery – Design, develop, test, and ship production‑quality features across the ISW backend (Java/Spring Boot) and frontend (React/Type Script). Deliver meaningful code in each sprint.
  • AI‑Augmented Development – Use AI pair‑programming tools (Git Hub Copilot, Cursor, Claude) for code generation, test synthesis, refactoring, documentation, and API design acceleration. Champion adoption across squads.
  • Domain Translation – Apply deep Custody and Fund Services knowledge to translate business requirements into technically precise, implementation‑ready specifications.
  • Workflow & Event Engineering – Design and build complex, multi‑step business workflows using event‑driven patterns on Apache Kafka, covering client processing activities, exception escalation, SLA monitoring, and lifecycle state machines.
  • AI Feature Engineering – Build AI‑powered features in the ISW, including LLM‑driven intelligent assistance, NLP‑powered search and query across IS data, and RAG‑based knowledge tools that surface contextual insights within the Workbench UI.
  • API Design & Integration – Design clean, versioned REST and GraphQL APIs that expose ISW capabilities to the client portal and internal consumers. Ensure contracts are well‑documented, backward‑compatible, and aligned with IS canonical data models.
  • Technical Mentorship & Quality & Resilience – Elevate engineering quality through rigorous code reviews, pairing, architecture discussions, and knowledge sharing. Write comprehensive tests, instrument observability, conduct chaos engineering experiments, and maintain the ISW platform at five‑nines operational standards.
Experience

This role explicitly requires advanced, daily usage of AI‑assisted development tools as part of the standard engineering workflow.

  • Advanced AI‑Assisted Development – a must.
  • Expert‑level proficiency in Java and the Spring Boot ecosystem, including Spring Security, Spring Data, Spring Web Flux, and Spring Integration.
  • Strong frontend capability in React and Type Script – able to build, review, and own feature‑complete UI components, state management patterns, and API integration layers.
  • Deep experience with event‑driven architecture – Apache Kafka, schema registries, Avro serialization, consumer group management, and exactly‑once delivery patterns.
  • Hands‑on experience with BPM/workflow engines – BPMN modelling, saga orchestration, and long‑running process management.
  • Proficiency in GraphQL API design – federation, schema stitching, resolver optimization, and data loader patterns.
  • Strong command of cloud‑native patterns – Kubernetes, service mesh, circuit breakers, and distributed tracing.
  • Rigorous testing discipline – unit, integration, contract (Pact), and performance testing with measurable coverage standards and automated quality gates.
AI Proficiency
  • Advanced, daily usage of AI pair‑programming tools – Git Hub Copilot, Devin, Cursor, or equivalent, with demonstrated ability to accelerate feature delivery without sacrificing…
Position Requirements
10+ Years work experience
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