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Added 17 days 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 17 days 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 17 days ago
P
DevOps Engineer
Proofpoint
Toronto, ON
- Full-time
We are seeking a curious and self-motivated DevOps Engineer with experience in building
Added 17 days 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 17 days 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 17 days 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 17 days 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 17 days 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 17 days 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 17 days 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 17 days 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 17 days 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 17 days ago
P
DevOps Engineer
Proofpoint
Toronto, ON
- Full-time
We are seeking a curious and self-motivated DevOps Engineer with experience in building
Added 17 days ago
T
Engineer II - IAM Federation Services
TD
Toronto, ON
- Full-time
Hands-on experience with Python, Java, Java Spring and SQL
Added 17 days 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 17 days 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 17 days 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 17 days 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 17 days ago
T
Engineer II - IAM Federation Services
TD
Toronto, ON
- Full-time
Hands-on experience with Python, Java, Java Spring and SQL
Added 17 days 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 17 days 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 17 days 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 17 days 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 17 days 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…
Added 17 days ago
M
Solutions Engineer (Technical Sales)
Miovision
Kitchener, ON
- $86,000 to $107,500 USD / year
- Full-time
Python Proficiency: Hands-on experience with Python for software prototyping, deep debugging, and automation workflows.

DataVisor

Tech Lead - Software Engineering

Calgary, AB, 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, training pipelines, and production operations. Mentor engineers, guide architecture and technical decisions, 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, relevant streaming or database technologies, Spring, production use of AI coding tools, and a bachelor's degree in Computer Science or a related field.

Skills

Technical Leadership
Java
Python
Shell Scripting
Distributed Systems
Real-Time Systems
Relational Databases
SQL
Multithreading
Concurrency
Cassandra
Yugabyte
Apache Flink
Apache Spark
Apache Kafka
Spring Framework

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 Layers
Training Pipelines
Machine Learning
Unsupervised Machine Learning
Supervised Machine Learning
Fraud Detection
Cassandra
Yugabyte
Apache Flink
Apache Spark
Apache Kafka
Spring Framework
SQL
Relational Databases
Multithreading
Concurrency
Kubernetes
LLM APIs
Agent Frameworks
Retrieval-Augmented Generation
Model Context Protocol
AI Coding Tools
Test-Driven Development
Root-Cause Analysis

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