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Apps Dev Tech Sr Lead Analyst

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:

176720.00 - 265080.00 USD / Year
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Job Description:

We are looking for an experienced Apps Development Group Manager to lead engineering for the Trade Manager Zone (TMZ) platform within the Cash Securities Settlements group, supporting the Equity Growth Initiative. This is a senior engineering leadership role that combines hands-on technical contribution with organizational accountability — you will be expected to stay close to the code and architecture while also owning the platform strategy, engineering standards, and team development across multiple squads. You will be responsible for the reliability, scalability, security, and evolution of a mission-critical equity settlement platform, and will play an active role in embedding AI and ML capabilities into both the platform and the engineering workflow.

Job Responsibility:

  • Actively participate in system design, architecture reviews, and code reviews across TMZ platform teams
  • Contribute to the design of distributed, fault-tolerant, real-time systems for high-volume, low-latency equity trade processing
  • Write, review, and refactor production-grade code in Kotlin, Java, and Python
  • Lead design of event-driven, microservices-based architectures using Kafka or Solace
  • Drive low-latency and high-performance system design
  • Design and govern data architecture across Oracle (SQL) and MongoDB (NoSQL)
  • Champion trunk-based development, feature flags, and progressive delivery
  • Produce and review architecture decision records (ADRs) and technical design documents
  • Contribute hands-on to AI/ML integration on the TMZ platform
  • Lead the implementation of AI-powered platform capabilities
  • Evaluate and adopt GenAI and LLM APIs
  • Use and promote AI-assisted development tools
  • Lead the design of AI/ML pipelines on real-time trade event streams
  • Define and enforce AI governance standards
  • Identify and prioritize AI adoption opportunities across the platform
  • Set and enforce engineering standards across all TMZ teams
  • Conduct code reviews on critical platform components
  • Drive adoption of AI-powered quality practices
  • Lead performance engineering
  • Own the security and compliance posture of the TMZ platform
  • Define engineering metrics and KPIs
  • Ensure all engineering delivery is aligned to Citi Engineering Excellence Standards
  • Define and own the engineering roadmap for the Trade Manager Zone platform
  • Develop strong domain knowledge in equity trade lifecycle, settlement mechanics, and cash securities processing
  • Own the platform's SLA, SLO, and SLI commitments
  • Lead cross-platform integration
  • Drive capacity planning and investment prioritization
  • Partner with Operations, Risk, Compliance, and Business teams
  • Lead and develop multiple engineering teams
  • Own the talent strategy for TMZ engineering
  • Develop the next generation of technical leads and engineering managers
  • Mentor senior engineers and managers
  • Drive AI upskilling across the team
  • Act as the primary engineering point of contact for the TMZ platform with senior stakeholders
  • Communicate platform health, delivery progress, engineering strategy, and risk clearly
  • Partner with Product, Operations, Risk, Finance, and Compliance
  • Represent TMZ engineering in cross-business technology forums and architecture councils
  • Manage vendor and partner relationships relevant to the platform

Requirements:

  • Kotlin - Primary platform language — strong hands-on proficiency
  • Python - Hands-on expertise in data pipelines, AI/ML integration, scripting, and automation
  • Java - Extensive hands-on experience in high-throughput, production-grade Java engineering
  • JVM performance tuning
  • Microservices Architecture - Hands-on design of microservices ecosystems
  • Event-Driven & Messaging Systems - Deep hands-on expertise in Kafka or Solace
  • Low-Latency & High-Performance Computing - Hands-on profiling and optimization
  • High Availability & Fault Tolerance - Hands-on design of resilience patterns
  • Databases - Hands-on expertise in Oracle (SQL) and MongoDB (NoSQL)
  • AI & ML Integration - Hands-on experience designing and integrating AI/ML models
  • GenAI & LLM Integration - Hands-on experience with GenAI tooling and LLM APIs
  • Data Engineering - Hands-on expertise in data pipelines, streaming data processing
  • Intelligent Automation - Hands-on application of ML to automate exception handling, anomaly detection, and operational workflows
  • AI Governance - Establishing AI governance standards
  • Cloud-Native Engineering - Hands-on experience with AWS, Kubernetes, and Docker
  • CI/CD & DevOps - Hands-on design and ownership of CI/CD pipelines
  • Observability & AIOps - Hands-on experience with distributed tracing, intelligent alerting, and AI-driven observability
  • Secure Engineering - Hands-on threat modeling, vulnerability assessments, and secure design reviews
  • Agile at Scale - Agile/SAFe delivery at program level
  • Bachelor’s degree/University degree or equivalent experience
  • Master’s degree preferred

Nice to have:

  • Hands-on experience with real-time ML model serving
  • Familiarity with RAG patterns, vector databases (e.g., Pinecone, Weaviate), or agentic AI frameworks (e.g., LangChain, AutoGen)
  • Knowledge of MLOps practices
  • Understanding of regulatory compliance frameworks relevant to securities settlement (e.g., T+1, CSDR)
  • Experience with chaos engineering and resilience testing
  • Knowledge of reconciliation and exception handling patterns in settlement workflows
  • Familiarity with prompt engineering and LLM fine-tuning in an enterprise, regulated context
  • Experience with technology investment governance and engineering budget management
What we offer:
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • planned time off (vacation)
  • unplanned time off (sick leave)
  • paid holidays

Additional Information:

Job Posted:
May 15, 2026

Expiration:
May 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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