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Added 1 month ago
Embedded Software Engineer
Analog Devices
Toronto, ON · Vancouver, BC · Canada, Toronto
As an Embedded Software Engineer Intern, you will gain hands-on experience developing software and firmware for embedded systems that power real-world applications. Working alongside…
Added 1 month ago
Embedded Systems Software Engineer
indie
Toronto, ON
The Embedded Systems Software Engineer will be responsible for the design, implementation, and definition of validation plans for various software modules running on a multi-processor…
Added 1 month ago
R
AI Engineer
RBC
Toronto, ON · Montreal, QC
- Full-time
The AI & Digital Innovation team in RBC Capital Markets is seeking an AI Engineer with expertise in software engineering, applied AI, Generative AI, and quantitative computation to…
Added 1 month ago
P
DevOps Engineer
Proofpoint
Toronto, ON
- Full-time
We are seeking a curious and self-motivated DevOps Engineer with experience in building
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 1 month ago
M
Lead Data Platform Engineer 1
McKesson
Mississauga, ON
- Full-time
Advanced proficiency with SQL and Python for large-scale data processing and performance optimization.
Added 1 month ago
Cloud Site Reliability Engineer II
Barracuda Networks Inc.
Ottawa, ON
…Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience. Hundreds of thousands of IT professionals…
Added 1 month ago
RI
Full Stack Software Engineer
Remarcable, Inc.
Remote, Canada
- $100,000 to $150,000 CAD / year
- Full-time
- Remote
We are growing our engineering team and hiring across multiple Full Stack Software Engineer roles at both Intermediate and Senior levels. We are looking for resourceful, curious engineers…
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Calgary, AB
- $130,000 to $170,000 CAD / year
- Full-time
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Vancouver, BC
- $130,000 to $170,000 CAD / year
- Full-time
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Toronto, ON
- $130,000 to $170,000 CAD / year
- Full-time
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 1 month ago
P
DevOps Engineer
Proofpoint
Toronto, ON
- Full-time
We are seeking a curious and self-motivated DevOps Engineer with experience in building
Added 1 month ago
T
Engineer II - IAM Federation Services
TD
Toronto, ON
- Full-time
Hands-on experience with Python, Java, Java Spring and SQL
Added 1 month ago
FR
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 1 month ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
As a Machine Learning Engineer, part of Zafin's AIOS Product team, you will build the machine learning and AI systems that power the AIOS Knowledge Fabric and help agents reason over…
Added 1 month ago
P
Data Integration Engineer
Prophix
Remote, Canada
- Full-time
- Remote
A Prophix Data Integration Engineer enables seamless, automated connections between client data sources and the Prophix platform. Working on the Professional Services team and with…
Added 1 month ago
A
Senior Backend Engineer
Apollo.io
Canada
- Full-time
…$1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools…
Added 1 month ago
T
Engineer II - IAM Federation Services
TD
Toronto, ON
- Full-time
Hands-on experience with Python, Java, Java Spring and SQL
Added 1 month ago
Site Reliability Engineer - OpenShift
Capgemini
Toronto, ON
Capgemini is looking for a Production support Engineer to work for the Commercial Line of Business. An ideal candidate should be the one that has experience as outlined below :-
Added 1 month ago
P
Data Integration Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
A Prophix Data Integration Engineer enables seamless, automated connections between client data sources and the Prophix platform. Working on the Professional Services team and with…
Added 1 month ago
Z
Support Engineer
ZenduIT
Mississauga, ON
- Full-time
…from local service fleets to large enterprises, and we work with major telematics platforms and hardware partners across North America. [Marketing to confirm customer and partner claims…
Added 1 month ago
AI
Forward Deployed AI Engineer
AGF Investments
Toronto, ON
- Full-time
The Forward Deployed AI Engineer is a hands-on technical expert responsible for partnering directly with business stakeholders to identify opportunities, design solutions, and build…
Added 1 month ago
AI
AI Platform Engineering Lead
AGF Investments
Toronto, ON
- Full-time
The role works closely with AI Forward Deployed Engineers and other technical teams to connect AI workloads to governed enterprise data, ensuring every deployed agent and model is…

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 engineers, drive technical execution, and integrate AI-assisted tools into engineering workflows.

Requirements

Candidates must have 8+ years of software development experience, including 2+ years in a technical leadership role. Proficiency in Java, Python, and distributed systems is required, along with a bachelor's degree in Computer Science or a related field.

Skills

Java
Python
Shell scripting
Distributed systems
SQL
Cassandra
Yugabyte
Flink
Spark
Kafka
Spring Framework
Machine learning
Real-time detection
System design
Technical leadership
AI-assisted engineering

Benefits

Health insurance
PTO
Equity

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Tech Lead
Fraud Detection
Machine Learning
SaaS
Distributed Systems
Java
Python
Shell
SQL
Cassandra
Yugabyte
Flink
Spark
Kafka
Spring Framework
Kubernetes
LLM
AI Agents
RAG
Real-time Systems
Data Processing
Technical Leadership
System Architecture
Mentorship
Operational Excellence
Test-driven development
Big Data
Security
Infrastructure

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