Apps Dev Tech Lead Analyst
Listed on 2026-05-23
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Software Development
AI Engineer, Cloud Engineer - Software, Software Engineer, DevOps
Apps Development Senior Manager
Trade Manager Zone Platform | Cash Securities Settlements | Equity Growth Initiative About the RoleWe 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.
Responsibilities:1. Software Development & System Design
- Architect, design, develop, and maintain robust, scalable, and high‑performance applications supporting equity trade settlement workflows on the Trade Manager Zone platform.
- Lead the design of distributed, fault‑tolerant, real‑time systems capable of handling high‑volume, low‑latency trade processing across global markets.
- Champion the use of AI‑assisted coding tools (e.g., Git Hub Copilot) to accelerate developer productivity, reduce toil, and improve code quality.
- Drive adoption of trunk‑based development practices to enable continuous integration and rapid, safe delivery.
- Ensure code is clean, maintainable, and testable — adhering to SOLID principles
, design patterns, and platform engineering standards. - Actively contribute to hands‑on coding, code reviews, and refactoring to maintain high engineering standards across the team.
- Own the technical design of key platform components, producing clear architecture documentation and decision records.
- Champion Test‑Driven Development (TDD),
Behavior‑Driven Development (BDD), and high unit test coverage as non‑negotiable engineering standards. - Introduce AI‑powered code review tooling to complement human reviews — catching security vulnerabilities, anti‑patterns, and performance issues at scale.
- Apply predictive quality analytics to identify high‑risk code changes before they reach production.
- Drive the adoption of automated testing frameworks across unit, integration, regression, and end‑to‑end test layers, including AI‑assisted test generation.
- Implement and enforce secure coding practices
, augmented by AI‑driven vulnerability scanning, performing assessments and ensuring compliance with financial industry security and regulatory standards. - Advocate for infrastructure as code
, continuous monitoring, and AI‑assisted observability (e.g., anomaly detection, intelligent alerting, root cause analysis) to enhance platform reliability. - Embed CI/CD pipelines and Dev Ops practices deeply into the team’s delivery workflow, aligned to Citi Engineering Excellence Standards
. - Drive a culture of zero‑defect engineering — proactive quality ownership from design through to production.
- Lead the integration of AI and ML capabilities into the Trade Manager Zone platform — including intelligent exception handling, anomaly detection, predictive settlement failure analysis, and automated reconciliation workflows.
- Leverage Large Language Models (LLMs) and GenAI APIs to embed intelligent capabilities into platform operations — such as natural language interfaces for trade operations, automated summarization of settlement exceptions, and AI‑driven decision support.
- Partner with data engineers and ML practitioners to design and operationalize AI/ML pipelines that consume real‑time trade data and deliver actionable intelligence.
- Apply advanced data…
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