
51 - 200 employees
💸 Finance
💳 Fintech
☁️ SaaS
💰 Series C on 2019-10
Finance • Fintech • SaaS
DataVisor is an advanced fraud and risk management platform leveraging AI and machine learning to provide real-time solutions for financial institutions and other large organizations. The platform offers a comprehensive suite of tools to tackle various types of fraud, including account takeovers, application fraud, ACH and wire fraud, card fraud, and check fraud. DataVisor also provides solutions for AML (Anti-Money Laundering) compliance, helping banks, credit unions, fintech companies, and digital payment services detect and prevent fraudulent activity. Through its innovative machine learning algorithms and real-time data orchestration, DataVisor allows organizations to streamline their operations, reduce fraud losses, increase approval rates, and maintain compliance, all while protecting the integrity of their systems and user data. The company emphasizes quick and efficient integration with existing systems and provides educational resources to stay ahead of emerging threats, making it a valuable partner for modern financial operations.
🔥 13 hours ago
🇨🇦 Canada – Remote
💵 $120k - $150k / year
⏰ Full Time
🟠 Senior
👷 Infrastructure Engineer
👻 Ghost score 8%
Where this job comes from
Posted on DataVisor's careers page ↗, not through a job board
First seen by Remote Rocketship 13 hours ago
Still open on DataVisor's site. Checked 10 hours ago.

51 - 200 employees
💸 Finance
💳 Fintech
☁️ SaaS
💰 Series C on 2019-10
Finance • Fintech • SaaS
DataVisor is an advanced fraud and risk management platform leveraging AI and machine learning to provide real-time solutions for financial institutions and other large organizations. The platform offers a comprehensive suite of tools to tackle various types of fraud, including account takeovers, application fraud, ACH and wire fraud, card fraud, and check fraud. DataVisor also provides solutions for AML (Anti-Money Laundering) compliance, helping banks, credit unions, fintech companies, and digital payment services detect and prevent fraudulent activity. Through its innovative machine learning algorithms and real-time data orchestration, DataVisor allows organizations to streamline their operations, reduce fraud losses, increase approval rates, and maintain compliance, all while protecting the integrity of their systems and user data. The company emphasizes quick and efficient integration with existing systems and provides educational resources to stay ahead of emerging threats, making it a valuable partner for modern financial operations.
• Design, operate and scale Kubernetes (EKS) clusters for multi-tenant and customer-dedicated deployments • Build AWS infrastructure as code with Terraform and keep environments reproducible • Run and tune Kafka, Flink, Spark, ClickHouse and MySQL for capacity, performance and reliability • Own observability with Prometheus, Grafana and Loki • Define SLOs, lead incident response and run on-call • Develop production software in Java, Go or Python, including platform services, internal tools, deployment automation and CI/CD pipelines • Help design distributed real-time systems for low-latency decisioning at scale • Lead security and reliability practices, including access control, secrets, backups, disaster recovery, and SOC 2 / PCI controls • Drive cloud cost optimization across compute and big-data workloads • Mentor junior engineers and set infrastructure standards
• 5+ years in infrastructure, SRE, DevOps or platform engineering on production systems • Hands-on experience running Kubernetes in production • Strong AWS experience and infrastructure as code (Terraform or CloudFormation) • Monitoring, alerting and on-call experience with Prometheus/Grafana or similar tools • Solid programming skills in Java, Go or Python, with experience shipping production code, not only scripts • Experience running at least one distributed data system (Kafka, Flink, Spark, ClickHouse or MySQL) • A degree in Computer Science, Computer Engineering, Electrical Engineering or a related field, or equivalent experience • Nice to have: Fraud, risk, payments or banking infrastructure; SOC 2 or PCI environments • Nice to have: Low-latency streaming or real-time decisioning platforms • Nice to have: Multi-region, multi-tenant or customer-hosted (private) SaaS deployments • Nice to have: FinOps or cloud cost reduction with measurable results • Nice to have: Internal tooling built with LLMs, or AI-assisted operations
• Health Insurance, including Extended Health Care, Vision Care, and Dental Care • Life Insurance • Accidental Insurance • Retirement Savings Plan • Paid Vacation
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