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Application Development Manager, Trading Platforms, Vice President

Citi
Mississauga, CAN
Full Time
Director
4 days ago
JavaPythonMicroservices ArchitectureKafkaOracle SQLMongoDB
Free

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JavaPythonMicroservices Architecture
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Job Overview

  • This role is for an engineer at heart who has grown into a leader.
  • Stays close to the code and actively participates in design, review, and technical problem solving.
  • Thinks AI first by actively seeking opportunities to apply AI and GenAI to engineering and operational challenges.
  • Owns outcomes by taking full accountability for platform quality, reliability, and delivery commitments.
  • Thrives in complexity: comfortable navigating the technical and operational complexity of mission critical financial systems.
  • Raises the bar by consistently pushing for higher engineering standards, better test coverage, cleaner architecture, and more resilient systems.

Responsibilities

  • Architect, design, develop, and maintain robust, scalable, and high performance applications supporting MTF.
  • 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., GitHub Copilot) to accelerate developer productivity, reduce toil, and improve code quality.
  • Ensure code is clean, maintainable, and testable by 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) and high unit test coverage as non negotiable engineering standards.
  • Introduce AI powered code review tooling to complement human reviews.
  • Drive the adoption of automated testing frameworks across unit, integration, regression, and end to end test layers.
  • Implement and enforce secure coding practices, augmented by AI driven vulnerability scanning.
  • Embed CI/CD pipelines and DevOps practices deeply into the team's delivery workflow.
  • Drive a culture of zero defect engineering with proactive quality ownership.

Must Have Skills

  • Java: Core backend development; deep expertise in production grade Java applications.
  • Python: Used for data pipelines, AI/ML integration, scripting, and automation.
  • Microservices Architecture: Design and delivery of loosely coupled, independently deployable services at scale.
  • Event Driven & Messaging Systems: Hands on experience with Kafka for real time, high throughput event streaming.
  • High Availability & Fault Tolerance: Design patterns for resilient systems.
  • Databases: Strong proficiency in Oracle (SQL) and MongoDB (NoSQL).
  • GenAI Tooling: Hands on experience with AI assisted development tools (GitHub Copilot or equivalent).
  • Data Engineering: Strong understanding of data pipelines, streaming data processing, and data quality patterns.
  • Cloud Native Engineering: Hands on experience with AWS, Kubernetes, and Docker.
  • CI/CD Pipelines: Strong proficiency in building and maintaining CI/CD pipelines.
  • 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.

Good to Have Skills

  • Knowledge of trade lifecycle, money market, risk engine and risk calculations.
  • Understanding of regulatory compliance frameworks.
  • Knowledge of risk management, reconciliation, and exception handling patterns in settlement workflows.
  • Familiarity with prompt engineering and usage of AI in software development.

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