Apps Dev Tech Sr Lead Analyst

Apps Development Group Manager

Trade Manager Zone Platform | Cash Securities Settlements | Equity Growth Initiative

About the Role

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.

Key Responsibilities

1. Hands-On Technical Leadership & System Design

• 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 — setting the technical bar for the team.
• Lead design of event-driven, microservices-based architectures using Kafka or Solace — including message schema design, topic partitioning, consumer group strategies, and fault-tolerant processing.
• Drive low-latency and high-performance system design — leading performance profiling, bottleneck analysis, and optimization of critical platform components.
• Design and govern data architecture across Oracle (SQL) and MongoDB (NoSQL) — schema design, indexing strategies, query optimization, and data consistency patterns.
• Champion trunk-based development, feature flags, and progressive delivery — contributing to CI/CD pipeline design and optimization.
• Produce and review architecture decision records (ADRs) and technical design documents for key platform components.

2. AI & ML Integration — Technical & Strategic

• Contribute hands-on to AI/ML integration on the TMZ platform — designing AI pipelines, evaluating ML frameworks, and reviewing AI model integration code.
• Lead the implementation of AI-powered platform capabilities — intelligent exception handling, predictive settlement failure detection, anomaly detection on trade flows, and automated reconciliation.
• Evaluate and adopt GenAI and LLM APIs — prototyping and architecting capabilities such as natural language interfaces for trade operations, AI-driven exception summarization, and GenAI-powered operational tooling.
• Use and promote AI-assisted development tools (e.g., GitHub Copilot or equivalent) — driving team adoption and establishing best practices for AI-augmented engineering.
• Lead the design of AI/ML pipelines on real-time trade event streams — working with data engineers and ML practitioners on feature engineering, model serving, and inference architecture.
• Define and enforce AI governance standards — responsible AI practices, model explainability, auditability, and regulatory compliance.
• Identify and prioritize AI adoption opportunities across the platform — focusing on high-value, engineering-led use cases.

3. Engineering Excellence & Quality

• Set and enforce engineering standards across all TMZ teams — TDD, BDD, trunk-based development, CI/CD, secure coding, and observability.
• Conduct code reviews on critical platform components — providing detailed technical feedback that improves team capability over time.
• Drive adoption of AI-powered quality practices — predictive quality analytics, AI-augmented code review, and automated test generation.
• Lead performance engineering — profiling JVM-based applications (Kotlin/Java), identifying hotspots, and optimizing critical settlement processing paths.
• Own the security and compliance posture of the TMZ platform — involvement in threat modeling, vulnerability assessments, and secure design reviews.
• Define engineering metrics and KPIs — DORA metrics, test coverage, MTTR, and platform SLIs — using data to drive continuous improvement.
• Ensure all engineering delivery is aligned to Citi Engineering Excellence Standards — CI/CD, DevOps, cloud-native practices, and modern ways of working.

4. Platform Strategy & Domain Ownership

• Define and own the engineering roadmap for the Trade Manag