DataVisor

Real-time fraud detection & risk management

Software Engineer Intern

Backend EngineeringConfirmed live in the last 24 hours

Internship · Winter 2027Remote in CanadaCA$20 - CA$50kRemote

About the Job

Requirements

Strong computer science fundamentals in data structures, algorithms, operating systems, and networking.
Proficiency in Java and Spring for backend development.
Experience with MySQL and SQL optimization.
Basic system design skills covering scalability, reliability, and performance.
Familiarity with testing, automation, and continuous integration and continuous delivery.
Strong communication skills and a collaborative mindset.

Responsibilities

Build and enhance real-time anti-fraud systems that process 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, including Spark, Hadoop, ClickHouse, and 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.

Desired Qualifications

Experience with messaging systems such as Kafka or similar technologies.
Familiarity with analytical and distributed databases such as ClickHouse and YugabyteDB.
Exposure to big-data frameworks such as Spark and Flink.
Basic understanding of machine learning concepts and modern artificial intelligence and large language model tools.
Experience with Kubernetes and cloud platforms, preferably AWS.
Ability to write automation scripts in Bash and Python.

Software Engineer Internship - Winter 2027

DataVisor · Vancouver, Canada (Remote) · Full-time · Posted 2026-11-04

Salary: CAD 40,000–50,000

Workplace: remote

Department: Engineering

Description

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.

Requirements

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).

Benefits

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.

Apply

Apply at DataVisor

About the Company

DataVisor

Real-time fraud detection & risk management

DataVisor offers a fraud detection and risk management platform for fintech and cybersecurity, helping financial institutions, e-commerce platforms, and online services detect and prevent fraudulent activity in real time. The core product integrates with clients’ existing data systems through APIs, supporting real-time or batch data processing to identify suspicious patterns. Machine learning analyzes large datasets to spot indicators of fraud and continuously improve detection accuracy. The company differentiates itself by providing a flexible, API-based integration that fits into clients’ current workflows and data environments, enabling real-time prevention across diverse use cases. Revenue comes from a subscription model that gives clients ongoing access to the platform and updates. The goal is to help organizations protect their operations and customers by staying ahead of increasingly sophisticated fraud schemes.

Company size: 51-200
Company stage: Late Stage VC
Total funding: $94.5M
Headquarters: Mountain View, CA
Founded: 2013

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