Apps Dev Tech Sr Lead Analyst

Citigroup

Jersey City, New Jersey, United States
Hybrid
Kotlin java python programming proficiency
Microservices and event-driven architecture design
Kafka or solace message streaming expertise
Citi is seeking an experienced Apps Development Group Manager to lead the engineering efforts for the Trade Manager Zone platform within the Cash Securities Settlements group. This hybrid role involves hands-on technical leadership, strategic oversight of platform evolution, and integration of AI/ML capabilities, with a focus on developing and mentoring engineering teams

Job Summary

  • This senior leadership role combines hands-on technical contribution with organizational accountability to lead the Trade Manager Zone platform within Cash Securities Settlements.
  • The successful candidate will actively embed AI and ML capabilities into the platform while ensuring reliability, scalability, and security for mission-critical equity trade processing.
  • You will drive engineering excellence by setting standards for trunk-based development, CI/CD pipelines, and performance optimization across multiple engineering squads.

Matching Summary

Match Score: 85

Citi is seeking an experienced Apps Development Group Manager to lead the engineering efforts for the Trade Manager Zone platform within the Cash Securities Settlements group. This hybrid role involves hands-on technical leadership, strategic oversight of platform evolution, and integration of AI/ML capabilities, with a focus on developing and mentoring engineering teams.

Skills & Requirements

Must-have

  • Kotlin Java Python programming proficiency
  • Microservices and event-driven architecture design
  • Kafka or Solace message streaming expertise
  • Oracle SQL and MongoDB NoSQL database skills
  • AI and ML model integration in production
  • AWS Kubernetes Docker cloud-native engineering
  • High-volume low-latency system optimization

Nice-to-have

  • GenAI LLM API prototyping experience
  • RAG patterns and vector database knowledge
  • MLOps practices and model monitoring
  • LangChain or AutoGen framework familiarity
  • Real-time ML model serving implementation
  • Agile SAFe delivery at program level

Key Requirements

  • Hands-on proficiency in Kotlin, Java, and Python
  • Experience leading multiple engineering teams
  • Deep domain knowledge in equity trade lifecycle
  • Expertise in JVM performance tuning and GC optimization
  • Proven track record in high-throughput system design

Work Rights

Not specified

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