Posted yesterday
Software Engineer Internship - Winter 2027
@ DataVisor
Toronto, Ontario
Overview
DataVisor is hiring a software engineer intern for Winter 2027 to build and enhance real-time anti-fraud systems that process large-scale data. The role involves backend services, distributed components and big-data pipelines. The posting states a competitive hourly rate of 20-25 CAD.
Pay:
$40,000–$50,000 a year
Responsibilities:
- Build real-time anti-fraud systems for large-scale data
- Develop backend services and validation frameworks
- Build scalable big-data and real-time pipelines
- Maintain testing and delivery frameworks
Requirements summary:
- Strong CS fundamentals in data structures, algorithms, OS and networking
- Proficiency in Java and Spring
- Experience with MySQL and SQL optimization
- Basic system design and CI/CD familiarity
Tools & skills
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-11-05
- First seen by our source
- 2026-11-05
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Entry level |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
DataVisor
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
The most powerful AI fraud and AML detection platform trusted by the world's largest brands.
Full company description
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention. As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.
- LinkedIn followers
- 66,918
- People associated on LinkedIn
- 164
- Reported office locations
- 967 N Shoreline Blvd, Mountain View, California 94043, US
- Business categories
- Cyber Security
- Fraud Detection
- Artificial Intelligence
- Software
- Internet
- Security
- Artificial Intelligence (AI)
- Big Data
- Machine Learning
- Other recorded names
- DataVisor
- Specialties
- Fraud Detection
- Fraud Prevention
- Artificial Intelligence
- Unsupervised Machine Learning
- Machine Learning
- AI Solutions
- Anti-Money Laundering
- Fraud Protection
- Agentic AI
- AI Fraud Detection
- and Real-time Decisioning
- Profile identifies a recruitment agency
- No
- Reported total investment
- 94,500,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention. As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium…
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | Mountain View, California |
| Organization type | Privately Held |
| Year founded | 2013 |
| Specialties | Fraud DetectionFraud PreventionArtificial IntelligenceUnsupervised Machine LearningMachine LearningAI SolutionsAnti-Money LaunderingFraud ProtectionAgentic AIAI Fraud Detection |
| Open jobs on Jobsy | 18 |
| View page |
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 solution scales infinitely and enables 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 guaranteed 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!
What You’ll Do
- Build and enhance real-time anti-fraud systems processing large-scale data.
- Develop and optimize backend services, internal tools, and validation frameworks.
- Contribute to distributed system components across multi-region cloud environments.
- Use big-data technologies (Spark, Hadoop, ClickHouse, Yugabyte) to build scalable pipelines.
- Build real-time data workflows using Kafka, Flink, and related technologies.
- Maintain development, testing, and delivery frameworks with a focus on quality and scalability.
- Strong CS fundamentals (data structures, algorithms, OS, networking).
- Proficiency in Java/Spring for backend development.
- Experience with MySQL and SQL optimization.
- Basic system design skills (scalability, reliability, performance).
- Familiarity with testing, automation, and CI/CD.
- Strong communication skills and a collaborative mindset.
Preferred Qualifications
- Experience with messaging systems (Kafka or similar).
- Familiarity with analytical/distributed databases (ClickHouse, YugabyteDB).
- Exposure to big-data frameworks (Spark, Flink).
- Basic understanding of ML concepts and modern AI/LLM tools.
- Experience with Kubernetes and cloud platforms (preferably AWS).
- Ability to write automation scripts (Bash, Python).
- Hands-on experience in a dynamic and collaborative work environment.
- Opportunity to work closely with experienced professionals in the field.
- Exposure to real-world software testing scenarios.
- Competitive hourly rate, range 20-25 CAD per hour.
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