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Added 19 hours ago
Senior Cybersecurity and Compliance Analyst - Landmark
Halliburton
Calgary, AB
Perform ongoing risk assessments, vulnerability reviews, and security control evaluations across applications, infrastructure, and cloud environments
Technical Security and Compliance Analyst
Google
Ottawa, ON · Toronto, ON · AB
Experience assessing and securing modern infrastructure, including cloud platforms, Kubernetes, containers, and distributed systems.
AI Security Analyst
MCI Careers
Canada
Other
Experience assessing application, infrastructure, or cloud security.
Senior Information Security, GRC Analyst
Cassels Brock & Blackwell LLP
Toronto, ON
Full-time
Cassels is seeking a Senior Information Security, GRC Analyst in our Information Technology department, reporting to the Assistant Director, Information Security. This role provides…
Sr. Product Solution Analyst, TD Securities
TD
Toronto, ON
Full-time
Enhancing the performance and scalability of the compute infrastructure through cloud technologies (AKS and RAY), GPU acceleration, and dependency pricing mechanisms.
Business Technology Analyst / Consultant (Technology Strategy and Transformation)
Deloitte
Ottawa, ON
Full-time
…industry best practices and emerging technology trends such as cloud adoption, AI, digital transformation, and advanced…
Senior Information Security Analyst (Vulnerability Governance)
TD
Toronto, ON
Full-time
Familiarity with application, infrastructure, or cloud security scanning tools such as Veracode, Snyk, Qualys VM, Wiz, or comparable platforms.
Data Analyst
Drug Intelligence
Toronto, ON
Full-time
Support the migration of on-premise database systems to cloud-based infrastructure.
Applications Development Sr Programmer Analyst - Assistant Vice President
Citi
Remote, Canada
Full-time · Remote
…ensuring scalability, resilience, and maintainability using cloud native infrastructure and openshift or Kubernates architecture including CI/CD…
Added 18 hours ago
Revenue Ops Systems Analyst
AppDirect
Toronto, ON
Full-time
…partners - complementing AppDirect's subscription commerce infrastructure and Tackle's cloud marketplace capabilities to give customers a complete partner-led growth…
Added 19 hours ago
Revenue Ops Systems Analyst
AppDirect
Canada
…partners - complementing AppDirect's subscription commerce infrastructure and Tackle's cloud marketplace capabilities to give customers a complete partner-led growth…
Programmer Analyst
Societe Generale
Montreal, QC
Full-time
Cloud skills (security, infrastructure, architecture design, design patterns…)
Network Analyst
Kativik llisarniliriniq
Montreal, QC
Full-time
Under the general supervision of the Coordinator of IT Services, the Network Analyst will be responsible for ensuring the continuity of operational services including Microsoft domains,…
Senior Security Analyst - Cyber Security - Regular Full-Time - 2026-17134 (2026-17134)
Sunnybrook
Toronto, ON
Full-time
Create and maintain security architecture frameworks and models for Infrastructure, Applications and Cloud Services.
Network Analyst
Brandt Group of Companies
Regina, SK
Full-time
Brandt Corporate Services Ltd. is seeking a Network Analyst to join our IT/IS team in Regina, Saskatchewan. In this role, you will ensure the reliability and performance of our global…
Onsite IT Support Specialist – Healthcare
SIMNET
ON · Whitby Southeast, Ontario
Full-time
cloud computing services, including infrastructure as a service (IaaS),
Regional Sales Manager | Canada
ExtraHop
Canada
…analyzing complete packet-level data at wire speed and leveraging cloud-scale machine learning, ExtraHop empowers Security Operations Centers (SOCs) to detect, investigate, and remediate…
SOC Analyst, Tier III
Interac Corp.
Toronto, ON · Interac Corp. Head Office
Full-time
Perform digital forensic investigations across endpoints, servers, cloud environments, and network infrastructure.
Added 55 mins ago
Senior IT Risk Analyst
goeasy Ltd.
Mississauga, ON
Full-time
Strong understanding of cybersecurity and technology controls across infrastructure, applications, identity management, cloud platforms, and data protection.
Added 18 hours ago
Revenue Operations Analyst
AppDirect
Toronto, ON
Full-time
…partners - complementing AppDirect's subscription commerce infrastructure and Tackle's cloud marketplace capabilities to give customers a complete partner-led growth…
Added 19 hours ago
Revenue Operations Analyst
AppDirect
Canada
…partners - complementing AppDirect's subscription commerce infrastructure and Tackle's cloud marketplace capabilities to give customers a complete partner-led growth…
Senior Sector Resilience Analyst
Bank of Canada
Ottawa, ON
Temporary
Knowledge of emerging technology risks (including artificial intelligence), third-party risk, cloud services, or critical infrastructure.
System Engineering Analyst, Headquarters (HQ)
General Dynamics Mission Systems–Canada
Ottawa, ON
Full-time
Experience developing cloud-based networks and infrastructure.
System Engineering Analyst
General Dynamics Mission Systems–Canada
Calgary, AB
Full-time
Experience developing cloud-based networks and infrastructure.
System Engineering Analyst, Headquarters (HQ)
General Dynamics Missions System International
Ottawa, ON
Full-time
Experience developing cloud-based networks and infrastructure.

Citi

Applications Development Sr Programmer Analyst - Assistant Vice President

Remote, Canada

Full-timeRemote

$94,300.00 - $141,500.00

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

Jump to the original description

Responsibilities

Design and maintain scalable data pipelines and AI agents using Python, PySpark, and Databricks within a microservices architecture. Drive business growth by building next-generation data analytics platforms and implementing agentic AI tools to enhance operational efficiency.

Requirements

Requires over 8 years of application development experience, with at least 5 years leading Python and PySpark engineering for high-volume ETL processes. Must have hands-on experience with LLM integrations, Google ADK, and cloud-native infrastructure like Kubernetes.

Experience

10+ years

Education

bachelor degree
postgraduate degree

Working hours

40 hours per week

Job type

Full-time

Work arrangement

Hybrid

Skills

Python
PySpark
Databricks
Gen AI Agents
Fast API
Microservices
Kafka
Google ADK
LLM Integration
Prompt Engineering
SQL
Data Mesh
Starburst
Kubernetes
CI/CD
Data Modeling

Minimum pay

$94,300

Maximum pay

$141,500

Pay currency

CAD

Pay period

YEAR

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
Databricks
Gen AI
LLM
Fast API
Microservices
Kafka
Google ADK
Google Flash 2.5+
Devin.AI
Github Copilot
MCP
Prompt Engineering
Starburst
Data Mesh
Lambda Architecture
SQL
Kubernetes
Openshift
Docker
CI/CD
ELT/ETL
Data Warehousing
Banking
Retail Risk
Wealth Management
AWS
Azure
GCP

Original job description

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.

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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:

$94,300.00 - $141,500.00

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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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