Responsibilities: 1. Software Development & System Design

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 or equivalent GenAI tools) 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.

2. Engineering Excellence & AI-Driven Quality

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 and catch security vulnerabilities, anti-patterns, and performance issues at scale.

Apply

predictive quality analytics

to identify high-risk code changes before they reach production.

Drive the adoption of

automated testing frameworks

across unit, integration, regression, and end‑to‑end test layers, including AI-assisted test generation.

Implement and enforce

secure coding practices , augmented by AI‑driven vulnerability scanning, performing assessments and ensuring compliance with financial industry security and regulatory standards.

Embed

CI/CD pipelines

and DevOps practices deeply into the team's delivery workflow, aligned to

Citi Engineering Excellence Standards .

Drive a culture of

zero‑defect engineering

with proactive quality ownership from design through to production.

3. Platform & Domain Expertise

Develop deep understanding of

trade lifecycle, risk calculation, pnl calculation and estimates

to make informed technical decisions aligned with business needs.

Partner with business analysts, product owners, and operations teams to translate

complex business logic and regulatory requirements

into robust technical solutions.

Ensure platform components meet

SLA targets

for availability, throughput, and latency in a mission‑critical environment.

Collaborate with downstream and upstream system owners across the

MTF

to ensure seamless integration and data integrity.

Drive continuous

platform modernization

by improving maintainability, scalability, and operational efficiency

4. Technical Leadership & People Management

Mentor engineers on

AI tool usage, prompt engineering, and responsible AI practices , building internal AI literacy across the team.

Partner with architects, platform engineers, and cross‑functional teams to design

scalable, distributed, and AI‑ready systems .





Lead technical discussions, architecture reviews, and design sessions by providing clear guidance on engineering decisions, AI integration patterns, and trade‑offs.

Drive

capacity planning, technical roadmap execution , and engineering delivery commitments

Represent the engineering team in stakeholder forums, providing transparent updates on delivery progress, risks, and technical health.

Skills and Qualifications Must-Have Skills

1. Programming Languages

Java

Core backend development; deep expertise in production‑grade Java applications

Python

Used for data pipelines, AI/ML integration, scripting, and automation

2. System Architecture (Real‑Time, High‑Throughput & Performance Optimization)

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 and messaging

High Availability & Fault Tolerance

Design patterns for resilient systems including circuit breakers, bulkheads, failover, and graceful degradation

Databases

Strong proficiency in

Oracle (SQL)

for transactional data and

MongoDB (NoSQL)

for versatile, high‑throughput data models

3. Advanced Data & AI Integration

GenAI Tooling

Hands‑on experience with AI‑assisted development tools (GitHub Copilot, or equivalent) and LLM API integration

Data Engineering

Strong understanding of data pipelines, streaming data processing, and data quality patterns in high‑volume environments

4. Cloud & DevOps — Citi Engineering Excellence Standards

Cloud‑Native Engineering

Hands‑on experience with

AWS, Kubernetes, and Docker

for scalable, containerized deployments

CI/CD Pipelines

Strong proficiency in building and maintaining CI/CD pipelines aligned to Citi Engineering Excellence Standards

Trunk-Based Development

Feature flags, progressive delivery, and continuous integration as core delivery practices

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

Agile Delivery

Strong experience in Agile/SAFe frameworks on backlog management, sprint delivery, and cross‑team dependency management

5. 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

What We Are Looking For 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 alongside the team.

Thinks AI‑first

by actively seeks opportunities to apply AI and GenAI to engineering and operational challenges, not just product features.

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.

Embraces AI pragmatically

by identifying high‑value opportunities to apply AI/ML to real platform problems, without losing sight of engineering fundamentals.

Inspires curiosity : creates an environment where engineers are excited to learn, experiment, and grow with AI.

Education:

Bachelor’s degree/University degree or equivalent experience

Master’s degree preferred

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 AI We 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.

This job opening is for an existing job vacancy.

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.

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📌 Application Developer, Java, Vice President (Winnipeg)
🏢 Citigroup
📍 Winnipeg