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Added 14 days ago
UR
Middle/Senior Forward Deployed Engineer (Python, AI)
Urban Ridge Supplies
Toronto, ON
- Full-time
Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL.
Added 14 days ago
UR
Specialist, AI Engineering
Urban Ridge Supplies
Toronto, ON
- Full-time
Strong Programming Skills: Proficiency in Python and experience with relevant AI/ML frameworks. Proficiency in writing clean, maintainable code (i.e. Python, Java, SQL, Spark).
Added 14 days ago
UR
AI Deployment & Solutions Lead
Urban Ridge Supplies
Toronto, ON
- Full-time
Strong programming skills in Python, Java/JavaScript, C++ or equivalent.
Added 14 days ago
UR
Principal Quality Architect
Urban Ridge Supplies
Toronto, ON
- Full-time
Polyglot Development: Write and test production-grade code across multiple languages and paradigms (e.g., TypeScript, Python, Go, .NET, Java) based on specific problem domains. Ramp into…
Added 14 days ago
UR
Senior Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Proficiency in at least one production programming language such as Python, Go, TypeScript, Java, or Scala.
Added 14 days ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Solid backend development skills, with strong programming experience in Python, Java, or similar
Added 14 days ago
BC
Associate or Vice President Full Stack Engineer
BMO Capital Markets
Toronto, ON
- Part-time
Programming language proficiency in Python, JavaScript/TypeScript, with familiarity in C#, Scala, or Java
Added 14 days ago
C
Quality Engineering
CGI
Toronto, ON
- Full-time
Programming or scripting experience with Java, JavaScript/TypeScript, Python, or C#.
Added 14 days ago
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Senior Full Stack Engineer (Azure Cloud Platform)
HCLTech
ON · Ontario, Canada
- $60 to $75 CAD / hour
- Contract
Develop backend services using Node.js, Python, .NET, or Java.
Added 14 days ago
G
Staff Software Engineer, Merchant Shopping Growth and Insights AI/ML
Google
Waterloo, ON
- Internship
Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
Added 14 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 14 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 14 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 14 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 14 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 14 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 14 days ago
T
Engineer II - IAM Federation Services
TD
Toronto, ON
- Full-time
Hands-on experience with Python, Java, Java Spring and SQL
Added 14 days ago
FR
Senior Service Reliability Engineer
Fitch Ratings
Toronto, ON
- Full-time
You’re highly proficient in administering both Linux and Windows, and have practical, enterprise-level experience supporting IIS/.NET applications as well as Java Spring Boot services.
Added 14 days ago
P
Data Integration Engineer
Prophix
Remote, Canada
- Full-time
- Remote
Working knowledge of scripting or programming languages such as Javascript, Python, SQL, or SOQL.
Added 14 days ago
T
Engineer II - IAM Federation Services
TD
Toronto, ON
- Full-time
Hands-on experience with Python, Java, Java Spring and SQL
Added 14 days ago
P
Data Integration Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
Experienced in Snaplogic and/or Java web services for integration between applications a plus
Added 14 days ago
2027 Intern Program, Technology Innovation - Future Opportunities
Bell
Montreal, QC
Foundational exposure to at least one programming or scripting language (e.g., Python, Java, C++, JavaScript) or tech concepts (data querying, cloud infrastructure, or cybersecurity) is…
Added 14 days ago
Senior Service Reliability Engineer
Fitch Group
Toronto, ON
You’re highly proficient in administering both Linux and Windows, and have practical, enterprise-level experience supporting IIS/.NET applications as well as Java Spring Boot services.
Added 15 days ago
C
Python Developer, Assistance Vice President
Citi
Mississauga, ON
- Full-time
Citi is hiring a Senior Python Developer (Applications Development Sr. Programmer Analyst - C12) with a focus on Generative AI. This hands-on engineering role offers the opportunity to…
Added 15 days ago
C
Lead Automation Developer - Vice President
Citi
Mississauga, ON
- Full-time
Programming Languages: Advanced, hands-on programming proficiency in core languages including Java, Python, and JavaScript/TypeScript, with a deep understanding of object-oriented…

DataVisor

Tech Lead - Software Engineering

Vancouver, BC, 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, 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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