Citi Group Java/Cloud Engineering Lead 

Canada, Ontario 

767565674

Responsibilities

• Identify common engineering needs across multiple streams of Middle-office and develop a unified solution.
• Closely monitor and evaluate the Citi’s Cloud, GenAI, DevOps, and SecOps strategies, and design a comprehensive adoption plan that aligns these initiatives with the specific needs of MO applications.
• Generate monthly reports outlining the progress of various adoptions and the effectiveness of the practices.
• Conduct regular reviews of application performance and security issues with teams, addressing them swiftly and effectively to prevent escalation and ensure optimal system functionality.
• Identify and manage technical debt, ensuring the engineering team balances the need for new features with maintaining and improving existing systems.
• Create, contribute, and help manage a technology roadmap that guides the development and integration of new technologies, ensuring the firm stays ahead of industry trends and maintains competitive advantages.
• Drive innovation by identifying and implementing new technologies and practices that enhance efficiency, reduce costs, or provide new capabilities.
• Lead and mentor engineering teams, promoting a culture of continuous improvement, collaboration, and technical excellence.
• Contribute to and participate in global Citi technology forums and Hackathons.
• Serve as a liaison between the engineering team and other stakeholders, including senior management, to ensure technical issues and solutions are clearly communicated and understood.
• Collect and act on stakeholder feedback to continuously improve technology solutions and processes.
• Develop strategies for managing legacy systems, including modernization, integration, or replacement, to prevent them from hindering the firm's operations or innovation.
• Gather and act on feedback from stakeholders to continuously improve technology solutions and processes.

Required Qualifications

• 10+ years of experience as a Software Engineer/ Developer and currently hand-on
• 8+ years of experience in Java 11,17,21 version

• Experience in managing polyglot application environment (Java, Python, Go etc)
• 5+ years’ experience of Microservices frameworks using Java, Spring Boot, Chronicle Stack
• 8+ years of experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.).
• Experience mentoring and managing junior engineers.
• Experience in Test-Driven Development and Behavior-Driven Development
• Proficient Data Structures, Object-Oriented Principles, JVM memory model
• Proficient in scripting languages such as Shell, Groovy, JavaScript
• 8+ years of architecture experience in building horizontally scalable, highly available, highly resilient, and low latency applications
• 5+ years' experience with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.)
• Exposure to CI/CD pipelines, either on-premises or public cloud (i.e., Tekton, Harness, Jenkins, etc.)

Core Competencies

• Exposure to managing Cloud infrastructure both on-premise and public cloud (i.e., OpenShift, AWS, etc.).
• Exposure to Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.).
• Exposure to API Management tools.
• Experience in Socket programming using Java/ RSocket
• Experience in Asynchronous system designing and development using Java 21 and Reactive programming.
• Exposure to event-driven design and architecture (i.e., Kafka, AMPS, etc.).
• Experience in technical leadership re-engineering monolithic applications into Microservices.
• Exposure to Security, Observability, and Monitoring (i.e., Grafana Prometheus, Tempo, Splunk, ELK, etc.).
• Exposure to Service Oriented and Microservices architectures, including REST and GraphQL implementations.
• Experience with database concepts and web-based technologies is a plus.

Preferred Skills

• UX development using ReactJS, NodeJS
• Understanding of low latency programming methodologies
• Understanding of AI/LLM models

Education

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree a plus.

Time Type:

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