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Added 1 month ago
C
QA Automation Engineer
CGI
Toronto, ON
- Full-time
Added 1 month ago
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QA Engineer - Data, ETL and API Testing
CGI
Toronto, ON
- Full-time
Develop and optimize SQL queries for data analysis, validation, and testing.
Added 1 month ago
X
Associate Engineer (Back End)
Xero
Remote, Canada
- Full-time
- Remote
Building desktop user interfaces using WPF, XAML, and relational SQL databases
Added 1 month ago
EC
Développeur(euse) QA sénior / Senior QA Developer
Eaton Corporation
Brossard, QC
- Full-time
Expérience avec SQL, LINQ et les bases de données (Microsoft SQL Server, Oracle Database ou autre RDBMS).
Added 1 month ago
DC
Junior Developer Co-op
Delta Controls
Surrey, BC
- Internship
As a Junior Developer Co-op you will work as part of the research and product development teams to create machine learning powered solutions for worldwide use in the Building Controls…
Added 1 month ago
D
Senior Specialist, Client & Market Analytics
Deloitte
Toronto, ON
- Full-time
Added 1 month ago
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Senior Specialist, Market Model
Deloitte
Toronto, ON
- Full-time
Proficiency with analytical languages and tools such as Python, R, SQL, Excel and Power BI, with experience automating data preparation, modelling or reporting workflows.
Added 1 month ago
GR
DevOps Systems Administrator – Linux
Global Relay
Vancouver, BC
- Full-time
SQL administration (Postgres, MySQL, SQL Server, Oracle, etc.)
Added 1 month ago
SP
Senior Director, Financial Planning & Analysis
Surgery Partners, Inc
Burlington, ON
- Full-time
…techniques; experience with automation tools, including macros and SQL, is…
Added 1 month ago
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TikTok Commerce - Strategy and Analytics Manager
TikTok
Toronto, ON
- Full-time
- Proficiency in SQL or Python for large-scale data extraction, statistical modeling, and automated business reporting.
Added 1 month ago
C
Staff Product Manager, AI Agents & Intelligence
commonsku
Remote, Canada
- $150,000 to $180,000 CAD / year
- Full-time
- Remote
Strong quantitative and AI fluency, with experience in usage-based monetization models, LLM behavior/observability, and product analytics tools (SQL, Metabase, or Fullstory).
Added 1 month ago
A
Développeur(euse) en géomatique / GIS Developer
AtkinsRéalis
Toronto, ON · Montreal, QC · Quebec, QC
- Full-time
Strong command of SQL in PostgreSQL; knowledge of Python, REST APIs, web services, and version-control practices is considered an asset.
Added 1 month ago
JH
System Integrator
JOHN HENRY FOSTER MINNESOTA INC
Humboldt No. 370, SK
- Full-time
Added 1 month ago
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Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Large-Scale Data Processing: Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platform.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Large-Scale Data Processing: Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platform.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Large-Scale Data Processing: Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platform.
Added 1 month ago
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Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Strong knowledge of computer systems, relational databases, and SQL.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Strong knowledge of computer systems, relational databases, and SQL.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Strong knowledge of computer systems, relational databases, and SQL.
Added 1 month ago
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Lead Data Platform Engineer 1
McKesson
Mississauga, ON
- Full-time
Advanced proficiency with SQL and Python for large-scale data processing and performance optimization.
Added 1 month ago
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Senior Analyst, Global Research - 26385
Enverus
Calgary, AB
- Full-time
Highly computer literate with advanced skills in Microsoft Excel, Python, and/or SQL
Added 1 month ago
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Senior GenAI Software Developer
BMO
Toronto, ON · FCP
- Full-time
…looking for a passionate and innovative Senior GenAI Software Developer to join our growing team and help design, build, scale, and lead intelligent AI-powered solutions that enhance…
Added 1 month ago
RI
Full Stack Software Engineer
Remarcable, Inc.
Remote, Canada
- $100,000 to $150,000 CAD / year
- Full-time
- Remote
Feature Engineering: Build and launch end-to-end features across Python/Django backends, Angular frontends, and SQL schemas.
Added 1 month ago
UH
Research Analyst I
University Health Network
Toronto, ON
- Contract
Maintain and optimize Oracle database objects, including tables, views, stored procedures, and SQL queries
Added 1 month ago
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Data Engineer II - CPB Data Curation
TD
Toronto, ON
- Full-time

DataVisor

Tech Lead - Software Engineering

Remote, Canada

Remote

Base salary range: CAN $130,000–$170,000, commensurate with experience. · Full-time

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Job details

Pay: Base salary range: CAN $130,000–$170,000, commensurate with experience.
Job type: Full-time
Workplace: Remote
Education: Bachelor’s degree
Posting language: English
Posted: Sep 23, 2026

Original job description

About DataVisor

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Summary

As part of the Platform Engineering team, you will help build DataVisor’s next-generation machine learning platform, combining our proprietary unsupervised machine learning technology with supervised machine learning algorithms to power real-time fraud detection at scale.

As fraud attacks become increasingly sophisticated, real-time detection is more critical than ever. Our platform team is responsible for designing and developing the architecture that makes scalable, real-time detection possible, including streaming systems, storage layers, and training pipelines that support our core detection capabilities.

We are looking for a creative, hands-on engineering leader to help expand our streaming and database systems, improve our core detection algorithms, and automate the end-to-end training process. This role is ideal for someone who enjoys solving complex distributed systems problems, mentoring engineers, and driving technical execution in a high-impact environment.

Join us as we continue to push the boundaries of fraud detection, machine learning infrastructure, and large-scale data processing.

What You’ll Do

Own the technical direction of the real-time detection platform, including streaming, storage, and the training pipelines that support it.
Translate product and engineering roadmaps into clear technical plans, milestones, and execution priorities.
Proactively identify technical risks, dependencies, and trade-offs before they impact delivery.
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Stay hands-on by coding, reviewing code, debugging issues, and supporting the team during production incidents.
Mentor engineers and raise the bar for system design, code quality, operational excellence, and technical execution.
Own the operational health of the platform, including alert quality, on-call load, incident follow-through, and root-cause prevention.
Partner directly with Product, TAM, and customer-facing teams on customer-impacting issues, ensuring clear impact assessment, prioritization, ownership, and next steps.
Define how the team uses AI agents and AI-assisted tools in engineering workflows, including verification standards and safe usage practices.
Build, evaluate, and improve LLM- and agent-assisted tools for engineering and operations use cases, such as triage, root-cause analysis, alert summarization, and evaluation harnesses.

8+ years of software development experience.

2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
Proven ability to lead technical outcomes across a team, including work you did not personally implement.
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Experience designing, building, shipping, and operating distributed real-time systems at scale.
Strong knowledge of computer systems, relational databases, and SQL.
Experience building and optimizing multithreaded and concurrent applications.
Hands-on experience with Cassandra, Yugabyte, Flink, Spark, or Kafka.
Experience with the Spring Framework.
Demonstrated use of AI coding tools such as Claude Code, Cursor, GitHub Copilot, or similar tools in real production work.
Ability to set team-level standards for AI-assisted engineering, including how tools are used, how outputs are verified, and when AI-generated suggestions should be rejected.
Strong verification discipline, with the ability to validate model outputs against source code, logs, documentation, and production behavior.
Bachelor’s degree in Computer Science or a related field is required.

Preferred Qualifications

Experience in fraud, risk, payments, financial services, or another domain where false negatives carry significant business or customer impact.
Experience owning ML platforms or large-scale training pipelines.
Experience with Kubernetes.
Experience building with LLM APIs, agent frameworks, tool calling, RAG, or MCP.
Experience writing evaluations or regression tests for non-deterministic systems.
Experience hiring, managing, or mentoring engineers.
Experience with test-driven development.

Base salary range: CAN $130,000–$170,000, commensurate with experience.
Health insurance, PTO, Equity.

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More about this job

Responsibilities

You will lead the technical direction of the real-time fraud detection platform, overseeing streaming, storage, and training pipelines. Additionally, you will mentor engineering staff and drive architectural decisions to ensure operational excellence and system scalability.

Requirements

Candidates must have over 8 years of software development experience, including at least 2 years in a technical leadership role. Proficiency in Java, distributed systems, and modern data processing tools like Flink or Kafka is required, along with a bachelor's degree in Computer Science.

Skills

Java
Python
Shell scripting
Distributed systems
Cassandra
Yugabyte
Flink
Spark
Kafka
Spring Framework
Machine learning
Real-time detection
System design
Technical leadership
Kubernetes
SQL

Benefits

Health insurance
PTO
Equity

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Tech Lead
AI
Fraud Detection
SaaS
Machine Learning
Big Data
Distributed Systems
Java
Python
Shell Scripting
Cassandra
Yugabyte
Flink
Spark
Kafka
Spring Framework
Kubernetes
LLM
RAG
Agent Frameworks
Real-time Systems
Data Processing
Technical Leadership
System Architecture
Operational Excellence
Mentorship
SQL
Cloud Infrastructure
Security

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