Jobs in Canada

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Added 21 mins ago
AWS Data Engineer
Apptoza Inc.
Toronto, ON
Contract
Lead the design, development, and enhancement of cloud-native data engineering frameworks on AWS.
Added 2 hours ago
Account Executive - Greenfield
Weights & Biases
Toronto, ON
Full-time
Lead business justification readouts and executive presentations that connect CoreWeave's platform to measurable infrastructure and model development outcomes
Added 2 hours ago
Quality Engineer II (Mainframe)
TD
Toronto, ON
Full-time
The Quality Engineer II – Mainframe is a hands-on role accountable for leading comprehensive end-to-end quality engineering activities for assigned medium-to-high-complexity initiatives.…
Added 2 hours ago
Commercial Lead/ Lead Sales Engineer
Bedford Group/TRANSEARCH
Toronto, ON · Greater Toronto Area, Canada
Full-time
Our client is a growth-stage environmental technology company commercializing an innovative biological treatment platform for municipal and industrial wastewater applications. The company…
Added 3 hours ago
Senior Conversational AI Engineer/Architect (P4)
Apex Systems
Mississauga, ON
$85 to $95 USD / hour
Full-time
Senior Conversational AI Engineer, EmployeeWorks Platform
Added 3 hours ago
Sr SAP SuccessFactors Engineer
MethodHub
Toronto, ON
Contract
L3 Support, BAU Operations & support Platform Stability
Added 3 hours ago
Support Engineer (Site Reliability Engineering (SRE) E3)
Apptoza Inc.
Montreal, QC
Contract
…resilience through infrastructure-as-code and CICD best practices. Lead incident response and remediation for mission-critical systems, conducting blameless postmortems and building…
Added 3 hours ago
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 3 hours ago
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 3 hours ago
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 3 hours ago
Lead Data Platform Engineer 1
McKesson
Mississauga, ON
Full-time
McKesson is seeking a Lead Data Platform Engineer 1 to define and drive the future of our enterprise data ecosystem. In this highly visible technical leadership role, you will establish…
Added 3 hours 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 3 hours ago
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
As Lead Data Engineer in Investor & Treasury Services Data Engineering team within Technology and operations office, you will design, implement, and support enterprise data architecture…
Added 3 hours ago
Data Engineer II - CPB Data Curation
TD
Toronto, ON
Full-time
Perform data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products.
Added 3 hours ago
Senior Product Manager, PolicyCenter
Guidewire Software
Canada
Full-time
…with the Head of Policy and Billing, the Product Management Lead for Policy, and a Principal PM focused on AI/agentic capabilities - to deliver the next generation of policy administration…
Added 3 hours ago
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 3 hours ago
Software Technical Leader
Cisco
Fredericton, NB
Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 3 hours ago
Software Technical Leader
Cisco
Halifax, NS
Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 3 hours ago
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 3 hours ago
Software Technical Leader
Cisco
Mississauga, ON
Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 3 hours ago
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 3 hours ago
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 3 hours ago
Data Engineer II - CPB Data Curation
TD
Toronto, ON
Full-time
Perform data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products.
Added 3 hours ago
Senior Backend Engineer
Woodbine Entertainment
Toronto, ON · Woodbine HQ
Full-time
Working closely with business stakeholders, vendors, and technology teams, the Lead Platform Engineer drives service reliability, security, compliance, automation, and continuous…
Added 4 hours ago
Senior Service Reliability Engineer
Fitch Ratings
Toronto, ON
Full-time
Influence cross‑functional roadmaps, lead complex release planning, and drive strategic platform initiatives across CI&PE; serve as an escalation point and participate in the L3 on‑call…

DataVisor

Tech Lead - Software Engineering

Vancouver, BC, Canada

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

Apply About employer

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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.

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

Apply About employer

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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