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Added 5 hours ago
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
Monitor, triage, and respond to security incidents across cloud and application environments, from initial detection through root cause analysis and remediation
Added 6 hours ago
Senior Software Engineer, Rider
CapitalG
Toronto, ON
Full-time
…technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that…
Added 8 hours ago
Tech Lead - Software Engineering
DataVisor
Remote, Canada
Full-time · Remote
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.
Added 8 hours ago
Tech Lead - Software Engineering
DataVisor
Remote, Canada
Full-time · Remote
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.
Added 9 hours ago
Senior Product Manager, PolicyCenter
Guidewire Software
Canada
Full-time
…credible partner on rating engines, data model, integrations, and cloud delivery…
Added 9 hours ago
Senior Software Engineer, Rider
Lyft
Toronto, ON
…technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that…
Added 9 hours ago
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 10 hours ago
Quality Engineer - Corrective Action Requests / Demandes d'actions correctives
Capgemini Engineering
Montreal, QC
Full-time
Participer aux réunions de triage concernant les enjeux à résoudre
Added 10 hours ago
Support Engineer
ZenduIT
Mississauga, ON
Full-time
…a cellular network, device firmware and configuration, our cloud platform, APIs and integrations with the customer's own software, and the people and workflows that use all of it. When a…
Added 10 hours ago
Senior Software Engineering - Data Device Capture SDK
General Motors
Oshawa, ON · Markham, ON
Full-time
…consistent, secure, high-fidelity data from vehicle ECUs to the cloud. We're seeking a Senior Device Data Capture SDK Software Engineer to design and integrate embedded data pipelines…
Added 11 hours ago
Senior Service Reliability Engineer
Fitch Group
Toronto, ON
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 12 hours ago
ML Systems Integration Engineer
Cerebras
Toronto, ON
Full-time
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 13 hours ago
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
Monitor, triage, and respond to security incidents across cloud and application environments, from initial detection through root cause analysis and remediation
Added 14 hours ago
Quality Engineer - Corrective Action Requests / Demandes d'actions correctives
Capgemini Engineering
Montreal, QC
Full-time
Participer aux réunions de triage concernant les enjeux à résoudre
Added 14 hours ago
Quality Engineer - Corrective Action Requests / Demandes d'actions correctives
Capgemini
Montreal, QC
Participer aux réunions de triage concernant les enjeux à résoudre
Added 16 hours ago
Field Support Engineer
Cognizant
Toronto, ON
Full-time
As a Field Support Engineer, you will make an impact by providing onsite and remote support for end-user devices, Microsoft 365 applications, and workplace technology services. You will…
Added 16 hours ago
Cloud Engineer
Insight Global
Toronto, ON
$65 to $85 CAD / hour
Contract
- Escalate issues requiring deeper technical intervention to the appropriate on-call engineer
Added 16 hours ago
Field Support Engineer
Cognizant
Calgary, AB · Greater Calgary Metropolitan Area
Full-time
As a Field Support Engineer, you will make an impact by providing onsite and remote support for end-user devices, Microsoft 365 applications, and workplace technology services. You will…
Added 1 day ago
Software Engineer II
TD
Toronto, ON
Full-time
As a Senior Software Engineer in the Secured Consumer Credit team within Personal Banking, you will contribute to the delivery and support of credit solutions by owning software engineering…
Added 1 day ago
Software Engineer II - Release & Deploy
TD
Toronto, ON
Full-time
We are looking for a hands-on engineer to improve how a digital banking platform is built, released, and operated. You will coordinate deployments, maintain and troubleshoot CI/CD…
Added 1 day ago
Field Support Engineer
Cognizant
Toronto, ON
Full-time
Cognizant’s Cloud, Infrastructure, and Security Services Practice (CIS), is all about accepting digital transformation by driving core modernization holistically across layers. We help…
Added 1 day ago
Field Services Engineer
Cognizant
Vancouver, BC
Full-time
Cognizant’s Cloud, Infrastructure, and Security Services Practice (CIS), is all about accepting digital transformation by driving core modernization holistically across layers. We help…
Added 1 day ago
Senior Application Support / Systems Engineer
Raise
Toronto, ON
Full-time
Raise is currently hiring a Senior Application Support / Systems Engineer on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to…
Added 1 day ago
AI Engineer
First National Financial LP
Toronto, ON · East York, ON
Full-time
We are hiring an AI Engineer, Application Development!
Added 2 days ago
Software Engineer I
TD
Toronto, ON
Full-time
As a Software Engineer in the onboarding and compliancy team in business banking, you will contribute to the delivery and support of OBNC capabilities by owning engineering work across…

DataVisor

Tech Lead - Software Engineering

Remote, Canada

Pay: Base salary range: $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: $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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