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Added 2 mins ago
Technical Recruiter
Insight Global
Canada
Full-time
Team Leadership & Delegation: Guide, mentor, and assign daily tasks to a team of 2–3 offshore junior-to-mid-level recruiters. Delegate administrative tasks (such as initial job postings and…
Added 2 mins ago
Consultant/ Senior Consultant - SAP Signavio & Business Transformation
Deloitte
Toronto, ON
Full-time
…facilitate executive discussions, develop transformation roadmaps, mentor junior team members, and contribute to Deloitte's SAP transformation…
Added 2 mins ago
Pharmaceutical Data Reviewer/Réviseur de données pharmaceutique
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Train and mentor analysts on good documentation practices and data integrity.
Added 2 mins ago
Deli Assistant Department Manager - Full Time
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Added 2 mins ago
Produce Assistant Department Manager - Full Time
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Added 2 mins ago
Accounting Manager
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Supervise, coach, and mentor senior accountants and staff accountants
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Senior Director - Transaction Services
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Develop and mentor team members, fostering technical excellence and a collaborative culture.
Added 2 mins ago
Python/Spark Developer
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$70 to $75 CAD / hour
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Lead software development projects and mentor team members throughout the development lifecycle.
Added 2 mins ago
Art Supervisor
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Ability to lead, mentor, and guide junior creative team members.
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Project Manager - ICI
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Mentor and support Project Coordinators and other junior team members.
Added 4 mins ago
Proposal Specialist
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A global community of brilliant minds – your next idea, mentor, or opportunity is always within reach.
Added 4 mins ago
Senior Engineering Manager
Citi
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Build & Mentor High-Performing Teams: Recruit, develop, and inspire top-tier software engineers, technical leads, and architects at the Mississauga site while orchestrating seamlessly with…
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Senior Consultant, Application Development
CIBC
Toronto, ON
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Senior FPGA Verification Engineer
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Industrial Mechanic Millwright
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Train and mentor apprentices in mechanical & job-specific skills
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Vice President, National Accounts
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Maintain accurate records and reporting, mentor colleagues, uphold all legal, regulatory and compliance requirements, and contribute to a collaborative, high-performance culture.
Added 4 mins ago
Senior Health & Safety Advisor
FCC Canada
Toronto, ON · Vancouver, BC
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Added 4 mins ago
Sort Supervisor
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Mentor and support Package Handlers during the sort process.
Added 18 mins ago
Digital Architect
Joblinxsapp
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The resource will lead cross-functional Agile product teams, establish technical vision and architecture, mentor developers and technical leads, and collaborate with business and technical…
Added 18 mins ago
Entry-Level English Teacher (ESL) | Visa Sponsored
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Full-time
Coach and mentor students, building their confidence and communication skills
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Manager, Assurance and Accounting
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Summerside, PE
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Mentor, motivate and coach team members towards professional and personal development by setting clear expectations, providing feedback and conducting performance reviews
Added 19 mins ago
Technical Lead
Method Integration Inc.
Remote, Canada
$120,000 to $144,000 CAD / year
Full-time · Remote
…AI-assisted development tools to prototype and ship faster, and mentor the engineers around you to do the same, well and…
Added 19 mins ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
- Mentor junior engineers on system design, code quality, and operational best practices
Added 19 mins ago
Transaction Services, Financial Due Diligence – Manager
Pwc UK
London, ON
Full-time
Added 19 mins ago
Team Lead, Advertising Project Management
HelloKindred
Toronto, ON
$60 to $64 CAD / hour
Contract
Manage, mentor, and develop a team of 6–12 Project Managers across the US, Canada, and LATAM, including senior and highly experienced practitioners.

DataVisor

Tech Lead - Software Engineering

Calgary, AB, 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

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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

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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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