We are seeking a highly experienced and technically proficient AI-First Full Stack Engineer to join our team in Mississauga. This is a critical, senior-level individual contributor role for a deep technical expert who will pioneer the integration of Artificial Intelligence into our software development lifecycle.
The ideal candidate is a passionate, hands-on engineer who operates with a high degree of autonomy to solve complex problems, set technical direction, and mentor other engineers through influence and example, without direct managerial responsibilities. You will be instrumental in translating complex business challenges in the financial domain into robust, scalable, and high-performance applications, built using an AI-augmented approach.
Key Responsibilities:
AI-Augmented Solution Design & Implementation: Lead the end-to-end design, architecture, and hands-on implementation of complex, full-stack applications. Strategically embed AI-powered tools (e.g., Devin, GitHub Copilot, Codex) to accelerate development, automate complex tasks, and validate architectural patterns.
Champion Elite Engineering Craftsmanship: Drive a culture of quality through the disciplined application of Spec-Driven Development (SDD) for clear planning, and Test-Driven (TDD) / Behavior-Driven Development (BDD) for flawless execution. Use AI to generate intelligent test cases and automate quality gates.
Architect for Scale and Resilience: Provide deep expertise in modern application architecture, designing for cloud readiness by applying 12-Factor App principles and microservice patterns to build scalable and resilient systems.
Technical Leadership & Mentorship: Act as a primary subject matter expert in modern software engineering. Provide technical leadership and guidance to the team, fostering best practices in AI-augmented development and scalable system design through code reviews, technical discussions, and collaborative problem-solving.
Strategic Vision & Innovation: Embrace an agile, iterative mindset that avoids "Big Up-Front Design" (BUFD). Contribute to the strategic vision for AI in engineering by researching and evaluating new AI technologies, methodologies, and tools to maintain a competitive edge.
Full-Stack Problem Solving: Mastermind database interactions across Oracle and MongoDB, employing AI to analyze query performance and recommend optimizations. Work across the entire stack to resolve high-impact problems through in-depth evaluation of business and system processes.
Qualifications & Experience
6+ years of experience in software engineering, with at least 6 years in a senior or lead role delivering complex, enterprise-grade applications.
Demonstrated success building and deploying applications in financial services, banking, or capital markets domains.
Proven experience leading technical implementations and mentoring other engineers in a senior individual contributor capacity.
Strong communication and stakeholder management skills, with the ability to articulate complex technical concepts to diverse audiences.
Advanced degree (or equivalent experience) in Computer Science, Engineering, or a related quantitative field is preferred.
Must-Have Engineering & Technical Acumen
Engineering Principles: Deep, practical knowledge of designing for cloud readiness, including microservice architecture, 12-Factor App principles, and modern design patterns.
Development Methodologies: Proven experience championing SDD (Spec Driven Development), TDD (Test Driven Development), and DDD (Domain Driven Design) within an agile environment. You don't just use these practices; you advocate for them.
Core Backend Stack: Mastery of modern Java (JDK 17/21) and the core Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Cloud).
Frontend Technologies: Hands-on experience with modern UI frameworks like Angular, using TypeScript/JavaScript to build intuitive user interfaces.
Databases: Strong, hands-on experience with both relational (Oracle, SQL) and NoSQL (MongoDB) databases.
DevOps & CI/CD: Proficiency with modern CI/CD pipelines (e.g., Harness, Jenkins), containerization with Docker, and container orchestration platforms, specifically OpenShift and Kubernetes.
AI-First Expertise
Practical Application: Demonstrable, hands-on experience using and integrating AI development tools (e.g., Devin, GitHub Copilot, Claude, Codex) into the software development lifecycle for tasks like code generation, debugging, and documentation.
Strategic Mindset: Strong understanding of the concepts underpinning modern AI tools (LLMs, prompt engineering, Retrieval-Augmented Generation – RAG, MCP, A2A) and a clear vision for how to leverage them to transform engineering productivity and quality.
What Success Looks Like
AI-powered tools and best practices are deeply and effectively embedded into the team's daily engineering workflow.
A measurable increase in developer velocity, code quality, and time to market your team's projects.
You are the go-to expert for AI-augmented development, actively mentoring and elevating the team's capabilities.
The successful delivery of complex, full-stack financial applications built with a quality-first, AI-augmented approach.
Why Join Us?
Shape the Future: Redefine how software is built at a global financial institution, setting the standard for AI-augmented engineering.
High-Impact Role: Enjoy significant autonomy and visibility as you lead a critical technical transformation from the front line.
Culture of Excellence: Join a team that values and invests in technical craftsmanship, continuous innovation, and modern engineering principles.
The Best of Both Worlds: Work at the exciting intersection of cutting-edge AI, modern software engineering, and the complex, high-stakes world of finance.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Primary Location Full Time Salary Range:$120,800.00 - $170,800.00------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Automated Processing and AIWe use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
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This job opening is for an existing job vacancy.
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 6+ years software engineering experience with at least 6 years in a senior or lead role delivering enterprise-grade applications
- Demonstrated experience building and deploying applications in financial services, banking, or capital markets
- Proven experience leading technical implementations and mentoring engineers as a senior individual contributor
- Practical, hands-on experience using and integrating AI development tools (e.g., Devin, GitHub Copilot, Codex, Claude) into the software development lifecycle
- Strong understanding of LLM concepts, prompt engineering, RAG, MCP, A2A and strategic application of AI tools
- Mastery of Java (JDK 17/21) and Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Cloud)
- Frontend experience with Angular using TypeScript/JavaScript
- Hands-on experience with Oracle/SQL and MongoDB databases and query performance optimization
- Proficiency with CI/CD and DevOps tools and processes (e.g., Harness, Jenkins), containerization (Docker) and orchestration (OpenShift, Kubernetes)
- Strong application architecture skills: microservice architecture, 12-Factor App principles, cloud readiness and resilience design patterns
- Proven practice and advocacy of Spec-Driven Development (SDD), Test-Driven Development (TDD), Behavior-Driven Development (BDD), and Domain-Driven Design (DDD) in agile teams
- Strong communication and stakeholder management skills to articulate technical concepts to diverse audiences
- Advanced degree in Computer Science, Engineering, or related quantitative field (or equivalent experience)
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
