Publié il y a 4 jours
Software Engineer Internship - Winter 2027
@ DataVisor
Vancouver, Colombie-Britannique
En bref
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.
Salaire :
40 000 $–50 000 $ par année
Responsabilités :
- 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
Résumé des exigences :
- 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
Outils et compétences
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-11-04
- Première détection par notre source
- 2026-11-04
- Mise à jour du dossier source
- 2026-11-04
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Débutant |
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
DataVisor
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
The most powerful AI fraud and AML detection platform trusted by the world's largest brands.
Description complète de l’entreprise
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.
- Abonnés LinkedIn
- 66 918
- Personnes associées sur LinkedIn
- 164
- Bureaux déclarés
- 967 N Shoreline Blvd, Mountain View, California 94043, US
- Catégories d’activité
- Cyber Security
- Fraud Detection
- Artificial Intelligence
- Software
- Internet
- Security
- Artificial Intelligence (AI)
- Big Data
- Machine Learning
- Autres noms enregistrés
- DataVisor
- Spécialités
- 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
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 94 500 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
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…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 51-200 employees |
| Siège social | Mountain View, California |
| Type d’organisation | Privately Held |
| Fondée en | 2013 |
| Spécialités | Fraud DetectionFraud PreventionArtificial IntelligenceUnsupervised Machine LearningMachine LearningAI SolutionsAnti-Money LaunderingFraud ProtectionAgentic AIAI Fraud Detection |
| Offres sur Jobsy | 18 |
| Voir la 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.
Journal
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