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Added 1 month ago
UR
LLM Engineer
Urban Ridge Supplies
Markham, ON
- Full-time
…smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient…
Added 1 month ago
UR
Applied AI Engineer
Urban Ridge Supplies
Mississauga, ON
- Full-time
Design and build advanced retrieval and knowledge systems (RAG): hybrid search, vector and graph stores, indexing strategies, reranking, caching, and source attribution - grounding…
Added 1 month ago
UR
Senior Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
Added 1 month ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Signal 1 helps health systems accelerate AI adoption with a category defining technology platform. Signal 1’s first product, the AI Management System (AIMS), gives health system leaders…
Added 1 month ago
UR
Lead Software Engineer, AI & Emerging Tech
Urban Ridge Supplies
Toronto, ON
- Full-time
As a Lead Engineer for AI & Emerging Tech, you will drive AI platform enablement across the enterprise, you will drive the design, development, and deployment of next-generation tech and…
Added 1 month ago
B
Software Engineer - Testing Frameworks
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…senior member of Baseten's Platform Team, you will own the systems that let every engineer at Baseten prove their code works before it reaches production. Our product runs mission-critical…
Added 1 month ago
C
Lead Applied Value Engineer
Celonis
Field, BC
- Full-time
…global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock…
Added 1 month ago
KD
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Digital Solutions
Montreal, QC
- Other
We are seeking an AI Engineer with deep technical expertise and a passion for cutting-edge innovation in artificial intelligence and machine learning. As part of our AI & Advanced Analytics…
Added 1 month ago
R
AI Engineer- EN
RBC
Montreal, QC
- Full-time
The AI & Digital Innovation team in RBC Capital Markets is seeking an AI Engineer with expertise in software engineering, applied AI, Generative AI, and quantitative computation to…
Added 1 month ago
RB
AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
The AI & Digital Innovation team in RBC Capital Markets is seeking an AI Engineer with expertise in software engineering, applied AI, Generative AI, and quantitative computation to…
Added 1 month ago
G
Staff Software Engineer, Merchant Shopping Growth and Insights AI/ML
Google
Waterloo, ON
- Internship
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
Added 1 month ago
R
AI Engineer
RBC
Toronto, ON · Montreal, QC
- Full-time
The AI & Digital Innovation team in RBC Capital Markets is seeking an AI Engineer with expertise in software engineering, applied AI, Generative AI, and quantitative computation to…
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
…scalable, real-time detection possible, including streaming systems, storage layers, and training pipelines that support our core detection…
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
…scalable, real-time detection possible, including streaming systems, storage layers, and training pipelines that support our core detection…
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
…scalable, real-time detection possible, including streaming systems, storage layers, and training pipelines that support our core detection…
Added 1 month ago
Sr. Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Sr. Software Development Engineer to lead the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects,…
Added 1 month ago
GS
Senior Product Manager, PolicyCenter
Guidewire Software
Canada
- Full-time
Prior experience as an engineer, solutions architect, business analyst, or implementation consultant on core insurance systems.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Calgary, AB
- $130,000 to $170,000 CAD / year
- Full-time
…scalable, real-time detection possible, including streaming systems, storage layers, and training pipelines that support our core detection…
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Vancouver, BC
- $130,000 to $170,000 CAD / year
- Full-time
…scalable, real-time detection possible, including streaming systems, storage layers, and training pipelines that support our core detection…
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Toronto, ON
- $130,000 to $170,000 CAD / year
- Full-time
…scalable, real-time detection possible, including streaming systems, storage layers, and training pipelines that support our core detection…
Added 1 month ago
V
Principal AI/ML Engineer
Vanguard
Toronto, ON
- Full-time
As a Principal AI Engineer, you will serve as a senior technical leader responsible for transforming state-of-the-art AI research into scalable, production-ready capabilities that create…
Added 1 month ago
FR
Senior Service Reliability Engineer
Fitch Ratings
Toronto, ON
- Full-time
Fitch Group is currently seeking a Senior Service Reliability Engineer to embed with Fitch Ratings development squads in Toronto and to partner with developers across Chicago, London,…
Added 1 month ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
As a Machine Learning Engineer, part of Zafin's AIOS Product team, you will build the machine learning and AI systems that power the AIOS Knowledge Fabric and help agents reason over…
Added 1 month ago
M
Compute Solution Architect
Mistral
Canada
- Full-time
…healthcare, and the public sector, co-creating customized AI systems that they can run on their…
Added 1 month ago
GD
Copy of Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…

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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