Posted 1 hour ago
Senior Infrastructure Engineer - Toronto
@ DataVisor
Toronto, Ontario
Overview
DataVisor is hiring a Senior Infrastructure Engineer in Toronto to own production infrastructure for its real-time fraud detection platform. The role covers Kubernetes (EKS) on AWS, streaming and data systems, observability, and writing production backend code. The posting states a CAD $120,000 to $150,000 annual salary and benefits including health, life and accident insurance, a retirement savings plan and paid vacation.
Pay:
$120,000–$150,000 a year
Responsibilities:
- Design, operate and scale EKS clusters for multi-tenant deployments
- Build AWS infrastructure as code with Terraform
- Run and tune Kafka, Flink, Spark, ClickHouse and MySQL
- Own observability, SLOs and on-call incident response
- Develop production software in Java, Go or Python
Requirements summary:
- 5+ years in infrastructure, SRE, DevOps or platform engineering
- Hands-on Kubernetes experience in production
- Strong AWS and infrastructure as code experience
- Monitoring and on-call experience with Prometheus/Grafana
- Solid Java, Go or Python programming skills
- Experience with at least one distributed data system
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-11-13
- First seen by our source
- 2026-11-13
- Source record updated
- 2026-11-13
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (preferred) |
| Fields of study | Computer Science, Computer Engineering, Electrical Engineering |
| Perks mentioned | Generous paid time off, Retirement plan |
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 | 22 |
| View 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
Our infrastructure team runs the platform that makes real-time fraud detection possible, and writes much of the software that runs on it. You will own production infrastructure end to end: Kubernetes clusters on AWS, the streaming and data systems behind detection, and the tools and services that keep them reliable. You will also design and build backend and platform code alongside the engineering teams.
What you'll do
- Design, operate and scale Kubernetes (EKS) clusters for multi-tenant and customer-dedicated deployments: Helm, upgrades, autoscaling, troubleshooting.
- Build AWS infrastructure as code with Terraform (VPC, IAM, EC2, EKS, S3) and keep environments reproducible.
- Run and tune the data systems detection depends on: Kafka, Flink, Spark, ClickHouse and MySQL, covering 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: platform services, internal tools, deployment automation and CI/CD pipelines.
- Help design distributed real-time systems with the platform team, for low-latency decisioning at scale.
- Lead security and reliability practices: 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.
What you'll bring
- 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.
- Low-latency streaming or real-time decisioning platforms.
- Multi-region, multi-tenant or customer-hosted (private) SaaS deployments.
- FinOps or cloud cost reduction with measurable results.
- Internal tooling built with LLMs, or AI-assisted operations.
- Compensation: Annual salary range of CAD $120,000 – $150,000, commensurate with experience.
- Health Insurance, including (Extended Health Care, Vision Care, and Dental Care)
- Life Insurance, Accidental Insurance
- Retirement Savings Plan
- Paid Vacation
Journal
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