Application support/ programmer analyst Jobs

Applications Development Sr Programmer Analyst - C12 - MISSISSAUGA
Citi —Mississauga, ON
- $94,300–$141,500 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
4h
Clinical Research Assistant
British Columbia Centre for Excellence —Vancouver, BC
- $57,347–$71,684 a year
- Full-time
- Medicine
- Laboratory experience
- Microsoft Office
1d
ANALYSTE PROGRAMMEUR SENIOR
Les Câbles Ben-Mor Inc. —Saint-Hyacinthe, QC
- Weekends as needed
- Remote
- Bilingual
- Azure
- Computer Science
- Dental care
Quick apply
7d
Sr. SAP FICO Analyst, Finance Solutions
Magna International —Aurora, ON
- From $100,000 a year
- Full-time
- Hybrid work
- Spanish
- Computer Science
- Bachelor's
Quick apply
Agent administration des commandes et facturation
Thomson Reuters —Montréal, QC
- Full-time
- Remote
- Bilingual
- Microsoft Excel
- English
- Tuition reimbursement
8d
Senior Java Developer - Assistant Vice President
Citi —Mississauga, ON
- $94,300–$141,500 a year
- Full-time
- Hybrid work
- Oracle
- Java
- Databases
2d
Senior. Net Developer
CGI —Montréal, QC
- Full-time
- Bilingual
- Oracle
- Computer Science
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Neumo Holdings LLC —Canada
- Full-time
- Remote
- Administrative experience
- Analysis skills
- Presentation skills
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14d
Senior Analyst-Business
Neumo Holdings LLC —Canada
- Full-time
- Remote
- Analysis skills
- Presentation skills
- Bachelor's
- Work from home
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Applications Development Sr Programmer Analyst - C12 - MISSISSAUGA

Citi -
Mississauga, ON

Apply Now

Job details

Full-time
$94,300–$141,500 a year
4 hours ago

Qualifications

Spring Boot
Data modeling
Azure
Law
Computer Science
MCP
React
Kubernetes
Relational databases
Big data
Engineering
Google Cloud Platform
Master's degree
Application development
Microservices
SQL
AWS
Docker
Bachelor's
Scala
YAML
Natural language processing
Angular
GitHub
APIs
JSON
Kafka
AI
Data warehouse
Python

Full job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Job Summary
We are seeking a highly motivated and experienced Principal Engineer to join our Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. This is an intermediate-level position responsible for designing, building, and maintaining robust, scalable data pipelines and solutions that leverage cutting-edge Mandatory platform for the secure and scalable deployment of AI agents, Big Data, Databrick and AI technologies. The ideal candidate is a high-impact individual with a passion for data, analytics, and problem-solving. You will play a key role in driving business engagement and growth by building the next generation of data and analytics platforms.

Responsibilities

Design, develop, and maintain scalable, enterprise-grade AI agents , supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices , PySpark, Kafka and Databricks ecosystem.
Build and Deploy GEN AI Agents using Googles ADK and Google Flash 2.5+ LLMs to support application automation supports and its deep insights, workflow support with HIL - Human in loop architecture.
Build and maintain data federation layers for lambda and Data Mesh architectures using tools like Starburst, with a strategy for adopting AI-based use cases (e.g., machine learning, deep learning, NLP) to drive efficiency.
Develop, deploy, and automate microservice integrations to support data-intensive applications, ensuring scalability, resilience, and maintainability using cloud native infrastructure and openshift or Kubernates architecture including CI/CD pipelines.
Integrate and leverage agentic AI tools (e.g., Devin.AI, Github Copilot) and platforms (e.g., MCP) through advanced prompt engineering to enhance development and operational efficiency.
Ensure data quality, integrity, and security throughout the entire data lifecycle.
Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team.
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citi, its clients, and assets by driving compliance with applicable laws, rules, and regulations. Adhere to Policy, apply sound ethical judgment, and escalate, manage, and report control issues with transparency.

Qualifications

Required:

8+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contexts
Minimum of 5+ years of proven experience in a Python and pyspark Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using the PySpark and Databricks ecosystem.
Hands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, including Devin.AI or Github Copilot, and integrating models via platforms like MCP using advanced prompt engineering.
Proven experience developing and automating microservice integrations to support data-intensive applications.
Proficiency in at least one programming language commonly used for data analytics, engineering, such as Python or Scala.
Strong SQL skills and experience with various relational databases.
Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation.
Excellent communication, collaboration, and problem-solving skills.

Preferred:

Experience with cloud-based Big Data platforms (e.g., Cloudera, Databricks, AWS, Azure, GCP).
Experience with frontend technologies such as Angular or React JS for building data-driven application interfaces.
Practical experience applying AI/ML techniques to solve real-world business problems.
Familiarity with containerization technologies (e.g., Docker, Kubernetes).
Experience in data engineering within the banking retail products domain (e.g., Cards, Mortgage, Deposits, Wealth Management).
Relevant industry certifications (e.g., AWS Certified Big Data - Specialty, Azure Data Engineer Associate).

Education

Bachelor’s degree in Computer Science, Engineering, or a related field.
Master’s degree is a plus.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location Full Time Salary Range:

$94,300.00 - $141,500.00

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.

Apply Now

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