Senior Software Engineer Job at Citi (Mississauga)

Senior Software Engineer

Citi

Location:
Canada , Mississauga

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

120800.00 - 170800.00 USD / Year

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Job Description:

The Banking Technology team is at the forefront of digital transformation, committed to enhancing client interactions and improving banker experience through an AI-first approach to development. We champion innovation at scale, leveraging advanced AI and intelligent automation to deliver superior software solutions, drive unparalleled productivity, and maintain our position as industry leaders. We are seeking an expert AI-driven Software Engineer to spearhead the development of a cutting-edge platform, automating and digitizing the end-to-end client experience in primary markets deal processes. This role embodies an AI-first mindset, where you will be instrumental in leveraging advanced AI-powered development tools and methodologies to accelerate development cycles, enhance software quality, and deliver creative solutions. You will be responsible for architecting and developing a custom middleware platform using the Spring framework, integrating near-real-time processing, modern open-source technology stacks, and cloud computing, all augmented by intelligent automation.

Job Responsibility:

Pioneer the use of AI-powered development tools such as GitHub Copilot, Devin, and other generative AI platforms for accelerated code generation, intelligent debugging, automated testing, design pattern suggestions, and performance optimization across the entire Software Development Life Cycle (SDLC)
Actively identify, evaluate, and implement AI-driven efficiencies and automations to streamline development, testing, deployment, and operational workflows
Explore, integrate, and champion new AI technologies, frameworks, and methodologies within the development team and across the broader organization
Contribute to the design and development of robust, scalable, and high-performance middleware platforms using the Spring framework (Spring Boot, JDBC, REST), focusing on backend systems and near-real-time processing
Collaborate with UI and Quality Engineering teams, ensuring AI-augmented development practices are integrated throughout the cross-functional agile team
Perform hands-on development and optimization with technologies like Mongo, Oracle, and Kafka, applying AI-driven insights to data modeling and system performance
Participate actively in Agile ceremonies, leveraging AI tools to enhance planning, estimation, and sprint execution
Maintain focus on producing high-quality, secure, and maintainable deliverables, leveraging AI for static analysis, vulnerability scanning, and code review assistance

Requirements:

Bachelor’s degree in Computer Science, Software Engineering, or a related discipline
Demonstrated experience with, or a strong aptitude for, AI-powered development environments and tools (e.g., GitHub Copilot, Devin, AI-augmented testing frameworks)
Solid understanding of how AI and machine learning concepts can fundamentally transform and enhance software delivery processes, from ideation to deployment
Proven ability to integrate and effectively utilize AI tools within daily engineering workflows to improve productivity and code quality
12+ years of progressive experience in designing and developing complex web applications and platforms
Expert-level proficiency in Object-Oriented Programming (OOP) and Java/JEE development
Deep expertise with the Spring Framework (Spring Boot, MVC, JDBC, AOP, REST)
Extensive experience with messaging systems, particularly Kafka
Proficiency in database technologies including Oracle and MongoDB, with experience in data modeling and optimization
Experience with CI/CD pipelines (e.g., TeamCity, uDeploy) and expert-level usage of source-control management (e.g., Git)
Strong understanding of Agile methodologies and continuous delivery practices
Excellent communication, documentation, and interpersonal skills, with a collaborative mindset for working with local and remote teams
Ability to quickly adapt to and integrate new and emerging technologies, especially in the AI/ML domain

Nice to have:

Experience with prompt engineering for large language models (LLMs) to optimize development tasks
Familiarity with integrating custom AI models or domain-specific AI tools into development workflows
Understanding of AI security best practices and ethical considerations in AI-driven development
Experience contributing to open-source AI projects or frameworks
Cloud certifications (AWS, GCP, Azure) and Agile certifications

Additional Information:

Job Posted:
March 22, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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