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Apps Development Senior Manager

https://www.citi.com/ Logo

Citi

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Location:
United States , Jersey City

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

142320.00 - 213480.00 USD / Year
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Job Description:

We are seeking a visionary and hands-on Apps Development Senior Manager to lead engineering delivery for the Trade Manager Zone (TMZ) platform within the Cash Securities Settlements group, supporting the Equity Growth Initiative. This is a core engineering leadership role at the heart of a high-impact, high-throughput financial platform that processes equity trade settlements at scale. You will lead high-performing engineering teams responsible for building, maintaining, and evolving mission-critical settlement systems — driving architectural excellence, modern delivery practices, and technical transformation. Critically, you will play a defining role in embedding Artificial Intelligence and Machine Learning into the platform — from AI-assisted development and intelligent automation to predictive analytics and GenAI-powered operational tooling — accelerating delivery, elevating code quality, and future-proofing our engineering culture. This role demands deep technical expertise, strong ownership, and the ability to lead through complexity in a regulated, fast-paced financial environment.

Job Responsibility:

  • Software Development & System Design
  • Engineering Excellence & AI-Driven Quality
  • Advanced AI & Data Integration
  • Platform & Domain Expertise
  • Technical Leadership & People Management

Requirements:

  • Kotlin Primary language for platform services
  • strong hands-on proficiency required
  • Python Used for data pipelines
  • AI/ML integration
  • scripting
  • and automation
  • Java Core backend development
  • deep expertise in production-grade Java applications
  • Microservices Architecture Design and delivery of loosely coupled
  • independently deployable services at scale
  • Event-Driven & Messaging Systems Hands-on experience with Kafka or Solace for real-time
  • high-throughput event streaming and messaging
  • Low-Latency & High-Performance Computing Proven experience optimizing systems for sub-millisecond to millisecond response times in high-volume financial environments
  • High Availability & Fault Tolerance Design patterns for resilient systems — circuit breakers
  • bulkheads
  • failover
  • and graceful degradation
  • Databases Strong proficiency in Oracle (SQL) for transactional data and MongoDB (NoSQL) for flexible
  • high-throughput data models
  • AI & ML Integration Experience integrating AI/ML models into production systems — including model serving
  • inference pipelines
  • and real-time scoring
  • GenAI Tooling Hands-on experience with AI-assisted development tools (GitHub Copilot
  • or equivalent) and LLM API integration
  • Data Engineering Strong understanding of data pipelines
  • streaming data processing
  • and data quality patterns in high-volume environments
  • Intelligent Automation Applying ML to automate exception handling
  • anomaly detection
  • and operational workflows in financial platforms
  • AI Governance Familiarity with responsible AI principles — explain ability
  • auditability
  • and compliance in regulated environments
  • Cloud-Native Engineering Hands-on experience with AWS
  • Kubernetes
  • and Docker for scalable
  • containerized deployments
  • CI/CD Pipelines Strong proficiency in building and maintaining CI/CD pipelines aligned to Citi Engineering Excellence Standards
  • Trunk-Based Development Feature flags
  • progressive delivery
  • and continuous integration as core delivery practices
  • Observability & Monitoring Experience with production monitoring
  • distributed tracing
  • intelligent alerting
  • and SRE practices
  • Secure Engineering AI-augmented vulnerability assessments
  • secure coding standards
  • and compliance in regulated financial environments
  • Agile Delivery Strong experience in Agile/SAFe frameworks — backlog management
  • sprint delivery
  • and cross-team dependency management
  • Bachelor’s degree/University degree or equivalent experience

Nice to have:

  • Experience with real-time ML model serving in low-latency
  • high-throughput environments (e.g.
  • feature stores
  • online inference)
  • Familiarity with Retrieval-Augmented Generation (RAG)
  • vector databases (e.g.
  • Pinecone
  • Weaviate)
  • or AI agent frameworks (e.g.
  • LangChain
  • AutoGen)
  • Knowledge of MLOps practices — model versioning
  • deployment pipelines
  • and monitoring in production
  • Understanding of AIOps — AI-driven incident management
  • anomaly detection
  • and intelligent observability
  • Knowledge of equity trade lifecycle
  • settlement mechanics
  • or cash securities processing
  • Understanding of regulatory compliance frameworks relevant to securities settlement (e.g.
  • T+1
  • CSDR)
  • Experience with performance profiling and tuning of JVM-based applications (Kotlin/Java) under high load
  • Knowledge of risk management
  • reconciliation
  • and exception handling patterns in settlement workflows
  • Familiarity with prompt engineering and fine-tuning strategies for LLMs in an enterprise context
  • Master’s degree preferred
What we offer:
  • medical
  • dental & vision coverage
  • 401(k)
  • life
  • accident
  • and disability insurance
  • wellness programs
  • paid time off packages
  • including planned time off (vacation)
  • unplanned time off (sick leave)
  • and paid holidays

Additional Information:

Job Posted:
May 15, 2026

Expiration:
May 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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