Publié hier
Infrastructure Engineer, Junior / New Grad (Toronto)
@ DataVisor
Toronto, Ontario
Salaire :
80 000 $–120 000 $ par année
Résumé des exigences :
- What you'll do
- Deploy and operate services on Kubernetes (EKS) with Helm, and help with upgrades, scaling and troubleshooting.
- Write and review Terraform for AWS resources.
- Build and improve CI/CD pipelines and deployment automation.
- Write Python, Go, Java or Bash tools and services that remove manual operations work.
- Add metrics, dashboards and alerts in Prometheus and Grafana.
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-11-12
- Première détection par notre source
- 2026-11-13
- Mise à jour du dossier source
- 2026-11-13
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
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 |
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!
Role Overview
Join the infrastructure team that runs DataVisor's real-time detection platform and builds the software around it. You will split your time between operating production infrastructure (Kubernetes, AWS, monitoring) and writing code: automation, internal tools and platform services. Senior engineers will mentor you, and you'll take on real production ownership in your first months.
Requirements
What you'll do
- Deploy and operate services on Kubernetes (EKS) with Helm, and help with upgrades, scaling and troubleshooting.
- Write and review Terraform for AWS resources.
- Build and improve CI/CD pipelines and deployment automation.
- Write Python, Go, Java or Bash tools and services that remove manual operations work.
- Add metrics, dashboards and alerts in Prometheus and Grafana. Join the on-call rotation once you're ramped up.
- Help run the data systems behind detection (Kafka, Flink, Spark, ClickHouse, MySQL) and learn how they behave under load.
- Work with the platform team on features for distributed, real-time systems.
What you'll bring
- 0-3 years of experience in infrastructure, DevOps, SRE, platform or backend engineering. Internships, co-ops and substantial projects count.
- Programming ability in at least one of Python, Go, Java or Bash, and comfort working in Linux.
- Exposure to containers and Kubernetes (Docker, Kubernetes, Helm) at work, in an internship, or in your own projects.
- Familiarity with a public cloud (AWS preferred) and an interest in infrastructure as code.
- An understanding of networking basics (DNS, TCP/IP, load balancing) and of how distributed systems fail.
- A degree in Computer Science, Computer Engineering, Electrical Engineering, Electronics or a related field, completed or finishing soon.
Nice to have
- A Computer Engineering, Electrical Engineering or Electronics background, with hands-on hardware, systems or networking knowledge.
- Terraform, CI/CD (GitHub Actions, Jenkins, ArgoCD) or monitoring tools used in a real setting.
- Experience with Kafka, Spark or a SQL database beyond coursework.
- Interest in fraud, risk or payments.
- Use of AI or LLM tools to automate work.
Benefits
- Compensation: Annual salary range of CAD $80,000 – $120,000, commensurate with experience.
- Health Insurance, including (Extended Health Care, Vision Care, and Dental Care)
- Life Insurance, Accidental Insurance
- Retirement Savings Plan
- Paid Vacation
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