Jobs in Canada

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Added 10 days ago
D
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 10 days ago
D
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 10 days ago
D
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 10 days 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 10 days ago
T
Data Engineer II - CPB Data Curation
TD
Toronto, ON
- Full-time
Be the lead participant in application design and code reviews.
Added 10 days ago
D
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.
Added 10 days ago
D
Tech Lead - Software Engineering
DataVisor
Vancouver, BC
- $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.
Added 10 days ago
D
Tech Lead - Software Engineering
DataVisor
Toronto, ON
- $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.
Added 10 days ago
T
Data Engineer II - CPB Data Curation
TD
Toronto, ON
- Full-time
Be the lead participant in application design and code reviews.
Added 10 days ago
FR
Senior Service Reliability Engineer
Fitch Ratings
Toronto, ON
- Full-time
You’ll lead the delivery of reliable, scalable, mission-critical services. You’ll guide squads on Kubernetes and modern deployment patterns.
Added 10 days ago
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Data Integration Engineer
Prophix
Remote, Canada
- Full-time
- Remote
…where intelligent tools support better outcomes while people lead the decisions that…
Added 10 days ago
BI
Lead Backend Engineer – AWS
BULL INFORMATION SYSTEMS LIMITED
Toronto, ON
- Full-time
Job Summary :Lead backend engineering and ensure high-quality AWS solution delivery.
Added 10 days ago
P
Data Integration Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
…where intelligent tools support better outcomes while people lead the decisions that…
Added 10 days ago
C
Technical Lead Senior – Java / Spring Boot
CGI
Montreal, QC
- Full-time
We are looking for a Senior Technical Lead with strong Java development expertise and the ability to provide technical leadership to teams working in an international environment.
Added 10 days ago
T
Sr. Business Systems Analyst (Nodejs, Java and E-signature Platforms)
TD
Toronto, ON
- Full-time
Lead requirements gathering workshops with business and technology stakeholders.
Added 10 days ago
T
R_1508495 Software Engineer III (Salesforce Loyalty Management Technical Lead)
TD
Toronto, ON
- Full-time
The Software Engineer III (Salesforce Loyalty Management Technical Lead) leads the creation of comprehensive end-to-end detailed solutions for projects and platforms with overall…
Added 10 days ago
T
Software Engineer II (Salesforce Loyalty Management Developer)
TD
Toronto, ON
- Full-time
The Software Engineer II (Salesforce Loyalty Management Developer)
Added 10 days ago
Lead Software Developer
Spiria
Ottawa, ON · Oakville, ON · Montreal, QC
Having an in-depth analysis and understanding of software development and customer issues, the Lead Software Developer evaluates and selects possible technology options for a project. They…
Added 10 days ago
Senior Service Reliability Engineer
Fitch Group
Toronto, ON
You’ll lead the delivery of reliable, scalable, mission-critical services. You’ll guide squads on Kubernetes and modern deployment patterns.
Added 10 days ago
SL
Senior Java Developer (Kafka/API)
Sun Life
Toronto, ON · Montreal, QC · Sun Life Toronto One York
- Full-time
The Canadian IT – Platform and Engineering team is looking for a Senior Software Developer with at least 5 years of Java application analysis and development experience. The successful…
Added 10 days ago
X
Lead Engineer - Payments Platform
Xero
Remote, Canada
- Full-time
- Remote
Integrating and championing artificial intelligence capabilities to accelerate engineering productivity and enhance developer workflows
Added 10 days ago
Lead Technical Support Specialist
Open Text Corporation
Richmond Hill, ON
Development (Java, SQL, CGI, Perl, .NET, or C++) experience will be an advantage
Added 10 days ago
TH
LEAD SOFTWARE DEVELOPER
The Home Depot Canada
Toronto, ON
- Full-time
The Lead Software Developer is responsible for the full scope of activities required within the software development life cycle, including over seeing the oversight and successful delivery…
Added 10 days ago
SL
Senior Java Developer (Kafka/API)
Sun Life
Toronto, ON
- Full-time
The Canadian IT – Platform and Engineering team is looking for a Senior Software Developer with at least 5 years of Java application analysis and development experience. The successful…
Added 10 days ago
SL
Senior Java Developer (Kafka/API)
Sun Life Québec
Montreal, QC
- Full-time
The Canadian IT – Platform and Engineering team is looking for a Senior Software Developer with at least 5 years of Java application analysis and development experience. The successful…

DataVisor

Tech Lead - Software Engineering

Toronto, ON, 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, and production support. Mentor engineers, improve operational health, partner with product and customer-facing teams, and establish safe, verifiable use of AI-assisted engineering tools.

Requirements

Requires 8+ years of software development experience, 2+ years of technical leadership, strong production experience with Java, and proficiency in Python and Shell scripting. Candidates must have experience with large-scale distributed real-time systems, databases and SQL, concurrency, Spring, and at least one of Cassandra, Yugabyte, Flink, Spark, or Kafka; 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
Technical Leadership

Benefits

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
Machine Learning
Training Pipelines
Fraud Detection
Unsupervised Machine Learning
Supervised Machine Learning
Relational Databases
SQL
Multithreading
Concurrency
Cassandra
Yugabyte
Apache Flink
Apache Spark
Apache Kafka
Spring Framework
Kubernetes
Large-Scale Data Processing
LLM APIs
AI Agents
Retrieval-Augmented Generation
Model Context Protocol
Root-Cause Analysis
Test-Driven Development

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