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Added 14 days ago
Sr. Solutions Architect | Architecte de solutions senior, Agentic WorkSpaces Canada
Amazon
Toronto, ON · Montreal, QC
Added 14 days ago
UR
Staff AI Solutions Deployment Developer, Applied AI
Urban Ridge Supplies
Waterloo, ON
- Full-time
3 years of experience writing code in one or more programming languages (e.g., Python, Java).
Added 14 days ago
UR
Forward Deployed Engineering, US Oncology
Urban Ridge Supplies
Mississauga, ON
- Full-time
Degree or equivalent experience and typically 8+ years of relevant experience in software engineering, solution engineering, solution architecture, technical consulting, enterprise…
Added 14 days ago
UR
AI Engineer
Urban Ridge Supplies
Guelph, ON
- Full-time
4+ years of software engineering experience, with at least 1 year building Generative AI applications.
Added 14 days ago
UR
Senior AI Engineer – Agentic AI Platform, LLM & GraphRAG
Urban Ridge Supplies
Toronto, ON
- Full-time
7+ years of software engineering experience with at least 3+ years focused on AI/ML solutions.
Added 14 days ago
UR
Principal Developer Support Engineer - Builder Experience
Urban Ridge Supplies
Toronto, ON
- $140,000 to $192,500 CAD / year
- Full-time
Experience: 8+ years in technical support, developer relations, solutions engineering, or software development with significant customer- or partner-facing experience.
Added 14 days ago
UR
Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Experience: 3+ years building ML or data-heavy systems in production
Added 14 days ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Mississauga, ON
- Full-time
Degree or equivalent experience and typically 8+ years of relevant experience in software engineering, solution engineering, solution architecture, technical consulting, enterprise…
Added 14 days ago
UR
Lead Full-Stack GenAI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Building substantial production-grade code, including Python services, APIs, RAG pipelines, agent workflows, enterprise integrations, and reusable libraries
Added 14 days ago
UR
AI Engineer
Urban Ridge Supplies
Kitchener, ON
- Full-time
4+ years of software engineering experience, with at least 1 year building Generative AI applications.
Added 14 days ago
UR
Senior AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
4–8+ years of experience in a data science, machine learning, or AI engineering role, including hands-on experience delivering production systems.
Added 14 days ago
UR
AI Solutions Engineer, Agentic Automation
Urban Ridge Supplies
Toronto, ON
- Full-time
Approximately 8-12+ years of senior-level experience across automation, solution delivery, or related business-technology roles such as automation development, solutions engineering,…
Added 14 days ago
UR
Senior Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
8+ years of experience across software, data, platform, infrastructure, or AI engineering roles, including:
Added 14 days ago
UR
Senior Software Engineer (Conductor)
Urban Ridge Supplies
Toronto, ON
- Full-time
…That means working across the full stack: backend services in Python and TypeScript, integrations against real healthcare provider environments (HL7 v2, FHIR, DICOM, RIS/PACS, EMR webhooks,…
Added 14 days ago
EA
Développeur.se de logiciels sénior.e - Intégration du jeu et fiabilité de la capture / Senior Software Developer - Game Integration & Capture Reliability
Electronic Arts (EA)
Vancouver, BC
- Full-time
8+ years of professional software engineering experience in AAA games, real-time simulation, or similarly complex systems
Added 14 days ago
EA
Développeur.se de logiciels sénior.e - Intégration du jeu et fiabilité de la capture / Senior Software Developer - Game Integration & Capture Reliability
Electronic Arts (EA)
Montreal, QC
- Full-time
8+ years of professional software engineering experience in AAA games, real-time simulation, or similarly complex systems
Added 14 days ago
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Senior Full Stack Engineer (Azure Cloud Platform)
HCLTech
ON · Ontario, Canada
- $60 to $75 CAD / hour
- Contract
You will work with technologies such as React, TypeScript, Node.js/Python/.NET, Azure, Terraform/Bicep, and GitHub Actions to deliver enterprise-grade solutions while helping establish…
Added 14 days ago
G
Staff Software Engineer, Merchant Shopping Growth and Insights AI/ML
Google
Waterloo, ON
- Internship
8 years of experience in software development.
Added 14 days ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
Added 14 days ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
Added 14 days ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
Added 14 days ago
D
Tech Lead - Software Engineering
DataVisor
Calgary, AB
- $130,000 to $170,000 CAD / year
- Full-time
2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
Added 14 days ago
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Tech Lead - Software Engineering
DataVisor
Vancouver, BC
- $130,000 to $170,000 CAD / year
- Full-time
2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
Added 14 days ago
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Tech Lead - Software Engineering
DataVisor
Toronto, ON
- $130,000 to $170,000 CAD / year
- Full-time
2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
Added 14 days ago
W
IT Architect III
WCB-Alberta
AB · Calgary, AB · Edmonton - Jarvis
- Full-time
-Proven experience as IT Architect for 5+ years - designing and implementing architectural solutions.

DataVisor

Tech Lead - Software Engineering

Vancouver, BC, Canada

$130,000 to $170,000 CAD / year · Full-time

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Job details

Pay: $130,000 to $170,000 CAD / year
Job type: Full-time
Apply by: Mar 22, 2027
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.

Requirements

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

Benefits

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

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More about this job

Responsibilities

Lead the technical direction and delivery of the real-time detection platform, including streaming, storage, and machine-learning training pipelines, while remaining hands-on with coding, reviews, debugging, and production incidents. Mentor engineers, improve operational health, partner with product and customer-facing teams on customer-impacting issues, and establish safe, verifiable use of AI-assisted engineering tools.

Requirements

Requires 8+ years of software development experience, at least 2 years in technical leadership, strong production experience with Java, and working proficiency in Python and Shell. Candidates need experience operating large-scale distributed real-time systems, databases and SQL, concurrency, relevant streaming or database technologies, Spring, and production use and verification of AI coding tools; a bachelor's degree in Computer Science or a related field is required.

Skills

Java
Python
Shell Scripting
Distributed Systems
Real-Time Systems
Relational Databases
SQL
Multithreading
Concurrency
Cassandra
Yugabyte
Apache Flink
Apache Spark
Apache Kafka
Spring Framework
Machine Learning

Benefits

Base Salary
Health Insurance
Paid Time Off
Equity

Visa sponsorship

Not detected in the job text

Keywords

Java
Python
Shell Scripting
Distributed Systems
Real-Time Detection
Streaming Systems
Storage Systems
Training Pipelines
Machine Learning
Unsupervised Learning
Supervised Learning
Fraud Detection
Cassandra
Yugabyte
Apache Flink
Apache Spark
Apache Kafka
Spring Framework
Relational Databases
SQL
Multithreading
Concurrency
Kubernetes
Large-Scale Data Processing
LLM APIs
Agent Frameworks
Retrieval-Augmented Generation
Model Context Protocol
AI Coding Tools
Test-Driven Development

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