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Added 1 hour ago
Python & Database Developer
Randstad Enterprise
Montreal, QC
Contract
Strong proficiency of Python with experience developing production-grade data processing pipelines
Added 3 hours ago
Senior Data Engineer – Ingénieur des données
KPI Digital Solutions
Montreal, QC
Other
Has the title implied, the candidate is a data engineer meaning he is a full fledge experienced developer very solid in both Python and Spark
Added 3 hours ago
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Digital Solutions
Montreal, QC
Other
At KPI, you’ll have the chance to build a career as unique as you are, with the support, inclusive culture, and technology to become the best version of you. And we’re counting on your…
Added 3 hours ago
AI Engineer- EN
RBC
Montreal, QC
Full-time
Advanced proficiency in Python and hands-on experience with applied AI and Generative AI frameworks and architectures.
Added 3 hours ago
Senior AI/ML Applications Architect
GE Vernova
Markham, ON
Full-time
…role combines deep technical expertise in AI/ML architecture with leadership responsibilities, requiring someone who can drive innovation from concept to production while managing…
Added 5 hours ago
Staff UX Researcher
Okta
Toronto, ON
Staff-Level Expertise: 7+ years of hands-on UX research experience in complex B2B, developer, or enterprise software environments, with a track record of driving product impact at a Senior…
Added 5 hours ago
Staff UX Researcher
Okta
Toronto, ON
$140,000 to $193,000 CAD / year
Full-time
Staff-Level Expertise: 7+ years of hands-on UX research experience in complex B2B, developer, or enterprise software environments, with a track record of driving product impact at a Senior…
Added 6 hours ago
AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Advanced proficiency in Python and hands-on experience with applied AI and Generative AI frameworks and architectures.
Added 7 hours ago
Member of Technical Staff, Post-Training
Handshake
Toronto, ON
$200,000 to $350,000 USD / year
Full-time
In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and…
Added 7 hours ago
Radio SW Developer Co-op
Ericsson
Ottawa, ON
Full-time
As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining our team at Ericsson you are empowered…
Added 7 hours ago
Staff Software Engineer, Merchant Shopping Growth and Insights AI/ML
Google
Waterloo, ON
Internship
Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
Added 9 hours ago
Postdoctoral Research Fellow in Cardiovascular Imaging, Precision Health and Artificial Intelligence (MOSAIC study)
The University of British Columbia
Vancouver, BC
Full-time
Proficiency in ML frameworks (experience with LLavaMed, EchoPrime and DNABERT considered an asset) and programming languages such as Python or R.
Added 9 hours ago
Health System Analyst (PS3 & PS4)
Government of Alberta
AB
Advanced proficiency with analytics and cloud technologies including SAS, R, Python, SQL, Snowflake, Databricks, and Microsoft Azure
Added 10 hours ago
Radio SW Developer Co-op
Ericsson
Ottawa, ON
Full-time
As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining our team at Ericsson you are empowered…
Added 10 hours ago
Python AI/ML Engineer
K&K Global Talent Solutions INC.
Mississauga, ON
Full-time
We are seeking an experienced Python AI/ML Engineer to design, develop, and deploy scalable AI-driven solutions focused on Machine Learning, LLMs, GenAI, and Risk Analytics. The ideal…
Added 10 hours ago
AI Engineer
RBC
Toronto, ON · Montreal, QC
Full-time
Advanced proficiency in Python and hands-on experience with applied AI and Generative AI frameworks and architectures.
Added 10 hours ago
AI Solution Architect
NTT DATA North America
Toronto, ON
$152.13 USD / hour
Other
Programming: Expert-level Python proficiency; experience with JavaScript, SQL, and web technologies
Added 10 hours ago
Research Machine Learning Scientist II
TD
Toronto, ON
Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 10 hours ago
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
Full-time · Remote
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
Added 10 hours ago
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
Full-time · Remote
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
Added 10 hours ago
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
Full-time · Remote
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
Added 10 hours ago
Tech Lead - Software Engineering
DataVisor
Remote, Canada
Full-time · Remote
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 10 hours ago
Tech Lead - Software Engineering
DataVisor
Remote, Canada
Full-time · Remote
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 10 hours ago
Tech Lead - Software Engineering
DataVisor
Remote, Canada
Full-time · Remote
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 11 hours ago
Tech Lead - Software Engineering
DataVisor
Calgary, AB
$130,000 to $170,000 CAD / year
Full-time
Deep production experience with Java, along with working proficiency in Python and Shell scripting.

DataVisor

Tech Lead - Software Engineering

Remote, Canada

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

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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, drive technical execution, and optimize the platform's operational health.

Requirements

Candidates must have at least 8 years of software development experience and 2 years of technical leadership experience. Proficiency in Java, Python, and distributed systems architecture is required, along with a bachelor's degree in Computer Science or a related field.

Skills

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

Benefits

Health insurance
PTO
Equity

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Tech Lead
Fraud Detection
Machine Learning
SaaS
Big Data
Distributed Systems
Java
Python
Shell Scripting
SQL
Cassandra
Yugabyte
Flink
Spark
Kafka
Spring Framework
Kubernetes
LLM
AI Agents
Real-time Systems
Data Processing
Technical Leadership
System Architecture
Operational Excellence
Training Pipelines
Fraud Prevention
AML
Cloud Infrastructure
API

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