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Added 9 mins ago
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Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
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Toronto, ON · FCP
- Full-time
The Applied AI Data Ingestion & Integration (DII) team provides end‑to‑end services to help move, prepare, and operationalize data for AI and analytics workloads. As a Senior Manager within…
Added 22 mins ago
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- Full-time
The Head of Data Systems (Google Stack) will play a key role at Stacktics, required to help create and maintain industry-leading quality and efficiency of service and software delivery.
Added 39 mins ago
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Director, DevOps Regulatory Engineering
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- Full-time
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Added 2 hours ago
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Senior Python Engineer
Citi
Mississauga, ON
- Full-time
Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications.
Added 2 hours ago
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Senior Technical Consultant, Environmental Engineer
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Cold Lake, AB · Edmonton, AB · Calgary, AB
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Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
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- Full-time
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Added 3 hours ago
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Calgary, AB · Edmonton, AB
- Full-time
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Intermediate/Senior Air Quality Engineer
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Calgary, AB · Edmonton, AB
- Full-time
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Added 3 hours ago
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Mississauga, ON
- $90,000 to $140,000 CAD / year
- Full-time
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Analytics Engineer - Consultant or Senior Consultant
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- Full-time
Collaborate with data engineers, data scientists, and stakeholders to ensure data quality, usability, and alignment with business goals
Added 3 hours ago
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Staff Software Engineer
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Vancouver, BC
- Full-time
Lead technical discovery and prototyping for complex integrations and data flow challenges, including those involving FHIR, HL7, and Kafka
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Lead Full Stack Software Engineer
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Toronto, ON · Waterloo, ON
- Full-time
As a Lead Full Stack Software Engineer, you will provide technical leadership across the software development lifecycle, partnering with product owners, architects, and engineering teams to…
Added 4 hours ago
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- $100,000 to $120,000 CAD / year
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Deep understanding of Data Engineering frameworks, including ETL/ELT, batch and streaming pipelines, data quality, metadata management, lineage, observability, and Data Ops practices.
Added 5 hours ago
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Mississauga, ON
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Campaign Attribution & Data Quality: Strengthen campaign attribution logic (campaign codes, UTM/campaign member data, lead-to-opportunity linkage) and monitor, troubleshoot, and improve…
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Added 5 hours ago
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Added 6 hours ago
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Technical Project Manager
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Montreal, QC
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Added 7 hours ago
1
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Added 11 hours ago
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Citi

Senior Python Engineer

Mississauga, ON, Canada

$120,800.00 - $170,800.00 · Full-time

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Job details

Pay: $120,800.00 - $170,800.00
Job type: Full-time
Apply by: Oct 13, 2026
Experience: 6+ years of hands-on experience in Application Development, primarily with Python.
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Description

We are seeking a highly experienced and technically proficient Senior Python Developer with 6+ years of hands-on experience to design, develop, and deliver critical, scalable, highly available, and performant applications. This role demands deep technical expertise, a strong focus on execution, and a proven ability to deliver robust software solutions, particularly within quantitative and market risk domains.

Key Technical Responsibilities:

Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications.
Develop solutions adhering to architectural standards, utilizing in-depth technical and business domain knowledge.
Enforce industry-standard SDLC best practices and contribute to code quality through reviews.
Collaborate with cross-functional teams (Risk, Quants, FO, DevOps, Production Support) for seamless delivery.
Drive development for Stress Testing and Regulatory Risk projects in the Market Risk domain.
Manage project technical aspects, including planning, governance, and taking ownership of initiatives.
Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines.

Required Technical Qualifications:

I. Core Python & System Development:

6+ years of hands-on experience in Application Development, primarily with Python.
Expert-level Python 3.x proficiency for scalable, resilient, and high-performance applications.
Advanced knowledge of Python frameworks (FastAPI, Django, Flask), best practices, and design patterns (OOP).
Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture).
Extensive experience with relational (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL.
Proven expertise in designing, developing, and securing RESTful APIs and integration patterns.
Hands-on experience with CI/CD systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.
Highly experienced with Unix-based operating systems.

II. Cloud & DevOps:

Strong background in cloud platforms (AWS, Azure, GCP), including containerization (Docker) and contributing to Kubernetes orchestration.
Advanced troubleshooting, debugging, and performance optimization for distributed systems.
Proficiency in automated testing frameworks (Pytest, unittest) and TDD methodologies.
Solid understanding of secure coding practices and application security principles (OWASP Top 10).
Expertise in Git (Bitbucket, GitHub) for advanced branching and pull request workflows.

III. Quantitative & Risk Domain:

Experience developing Quantitative/Calc-intensive Python solutions with advanced computation libraries.
Sound understanding and exposure to various Risk Methodologies.
Exposure to mathematical modeling/finance insights.

IV. Artificial Intelligence (AI) Integration (Exposure):

Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn).
Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows.
Experience with Agentic AI tools, including writing Agents and Skills, and contributing to Agentic frameworks.
Understanding and practical application of Generative AI concepts in software development.

Professional Skills:

Deep understanding and practical experience with Agile/Scrum methodologies.
Exceptional ability to manage priorities and tasks effectively.
Strong analytical, logical, systems thinking, and critical analysis skills.
Excellent written and verbal communication for diverse audiences.
Ability to work independently, take ownership, and collaborate effectively in global teams.

Desirable Qualifications:

Polyglot Programming Exposure (e.g., Java).
Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.
Frontend Development (React, Angular, Vue.js).
Relevant Cloud or Industry Certifications.
Experience with banking domain (pricing, risk), CFA/FRM certification.

Key Focus Areas / Desirable Skills

• Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models

• Machine Learning: PyTorch, TensorFlow, Fine-tuning

• Frameworks: LangChain, LlamaIndex, Hugging Face

• Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval

• Orchestration: LangGraph, Multi-Agent Systems

• Development: Python, FastAPI, Async Programming

• Deployment: Docker, Production APIs, Monitoring

• Applied Methodology: Prompt Engineering, Workflow Design, GenAI Optimization

Education:

Bachelor’s degree/University degree or equivalent experience in Computer Science, Engineering, or Technology
Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location Full Time Salary Range:

$120,800.00 - $170,800.00

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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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.

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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.

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More about this job

Responsibilities

Lead the architecture and implementation of scalable, high-performance Python frameworks for quantitative and market risk applications. Collaborate with cross-functional teams including Quants, Risk, and DevOps to deliver robust software solutions within a global environment.

Requirements

Requires 6+ years of hands-on Python development experience with expertise in system architecture, distributed systems, and cloud platforms. Candidates should possess strong analytical skills and experience in quantitative or risk-intensive domains.

Skills

Python
FastAPI
Django
Flask
PostgreSQL
SQL
AWS
Azure
GCP
Docker
Kubernetes
CI/CD
Pytest
Git
Generative AI
Machine Learning

Visa sponsorship

Not detected in the job text

Keywords

Python
FastAPI
Django
Flask
PostgreSQL
NoSQL
AWS
Azure
GCP
Docker
Kubernetes
CI/CD
Jenkins
Git
Pytest
TDD
Microservices
Event-Driven Architecture
Generative AI
Machine Learning
PyTorch
TensorFlow
Agile
Scrum
Market Risk
Quantitative Analysis
RESTful APIs
System Architecture
Cloud Computing

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