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Added 1 month ago
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Software Engineering LMTS
Salesforce
Vancouver, BC
- Full-time
A related technical degree, or equivalent practical experience, required
Added 1 month ago
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Senior Software Engineer (Java)
Mastercard
Vancouver, BC
- Full-time
Senior Software Engineer (Java)Job Description Summary
Added 1 month ago
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Lead QA Automation Engineer
INFOYA
Toronto, ON
- $100,000 to $110,000 CAD / year
- Full-time
About the Job: We are seeking a Lead QA Automation
Added 1 month ago
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Java Software Engineer
RedCompass Labs
Toronto, ON
- Full-time
…related to payments and the financial using knowledge about Java, Spring framework, Kafka and Cloud…
Added 1 month ago
UR
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Urban Ridge Supplies
Toronto, ON
- Full-time
Salesforce is hiring Forward Deployed Engineers - experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll…
Added 1 month ago
UR
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Urban Ridge Supplies
Toronto, ON
- Full-time
Salesforce is hiring Forward Deployed Engineers - experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll…
Added 1 month ago
UR
Staff AI Solutions Deployment Developer, Applied AI
Urban Ridge Supplies
Waterloo, ON
- Full-time
8 years of experience in customer-facing technical roles (e.g., Solutions Architect, Forward Deployed Specialist, Principal Consultant) with a focus on enterprise systems.
Added 1 month ago
UR
Software Engineer - Team Lead (Forward Deployed)
Urban Ridge Supplies
Mississauga, ON
- Full-time
As a player/coach, you’re not expected to be great at everything, but you are expected to lead by example and be willing to roll up your sleeves when things get challenging. You’ll balance…
Added 1 month ago
UR
AI Deployment & Solutions Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
The Forward Deployment Engineer (FDE) Technical Lead is a hands-on engineering leader responsible for solving complex problems by combining software engineering, AI/GenAI, data, cloud,…
Added 1 month ago
UR
Principal Developer Support Engineer - Builder Experience
Urban Ridge Supplies
Toronto, ON
- $140,000 to $192,500 CAD / year
- Full-time
Team Upskilling: Lead technical reviews and team learning sessions to address skills gaps and roll out new product knowledge.
Added 1 month ago
UR
Middle/Senior Forward Deployed Engineer (Python, AI)
Urban Ridge Supplies
Toronto, ON
- Full-time
Lead discovery sessions to understand the client's business, systems, data, operating model, and underlying challenges.
Added 1 month ago
UR
Specialist, AI Engineering
Urban Ridge Supplies
Toronto, ON
- Full-time
Proof-of-Concept to Production: Lead in conjunction with internal and external stakeholders the full lifecycle of AI projects, from initial ideation and rapid prototyping (Proof-of-Concept)…
Added 1 month ago
UR
AI Deployment & Solutions Lead
Urban Ridge Supplies
Toronto, ON
- Full-time
The Forward Deployment Engineer (FDE) Technical Lead is a hands-on engineering leader responsible for solving complex problems by combining software engineering, AI/GenAI, data, cloud,…
Added 1 month ago
UR
Forward Deployment Engineer
Urban Ridge Supplies
Mississauga, ON
- Full-time
The technical scope includes building effective automated test suites, remediating security vulnerabilities, performing dependency and reachability analysis, upgrading Java and NPM…
Added 1 month ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Lead the deployment of Signal 1's platform and solutions across multiple health systems
Added 1 month ago
UR
Senior Forward Deployment Engineer
Urban Ridge Supplies
Mississauga, ON
- Full-time
The technical scope includes building effective automated test suites, remediating security vulnerabilities, performing dependency and reachability analysis, upgrading Java and NPM…
Added 1 month ago
Lead Cloud Applications Consultant
Open Text Corporation
Waterloo, ON
The OpenText Cloud Technical Success Services Team is seeking a Lead Cloud Applications Consultant to provide technical leadership for a portfolio of highly strategic OpenText Cloud…
Added 1 month ago
Software Development Engineer, Senior Leader Experiences - Workforce Planning
Amazon
Vancouver, BC
…decisions, and can comfortably communicate with others, in both technical and non-technical…
Added 1 month ago
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Core Network as a Service Test Developer
Ericsson
Ottawa, ON
- Full-time
…of 5G services. We are looking for individuals who want to lead change in the industry, apply the latest technologies to a domain that society relies on day in and day…
Added 1 month ago
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Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Added 1 month ago
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Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Added 1 month ago
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Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Added 1 month ago
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Senior GenAI Software Developer
BMO
Toronto, ON · FCP
- Full-time
…to join our growing team and help design, build, scale, and lead intelligent AI-powered solutions that enhance employee and customer experiences across the…
Added 1 month ago
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Data Engineer II - CPB Data Curation
TD
Toronto, ON
- Full-time
Articulate complex, large-scale and high-impact technical design and development details to non-technical business partners.
Added 1 month ago
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Tech Lead - Software Engineering
DataVisor
Calgary, AB
- $130,000 to $170,000 CAD / year
- Full-time
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.

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, 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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