0-3 years of experience in infrastructure, DevOps, SRE, platform, or backend engineering, including internships and projects.
Proficiency in at least one programming language: Python, Go, Java, or Bash, with Linux experience.
Familiarity with containers and Kubernetes (Docker, Kubernetes, Helm) from work or personal projects.
Experience with public cloud services, preferably AWS, and an interest in infrastructure as code.
Basic understanding of networking concepts (DNS, TCP/IP, load balancing) and distributed systems failure.
Degree in Computer Science, Computer Engineering, Electrical Engineering, Electronics, or a related field, completed or nearing completion.
Responsibilities
Deploy and manage services on Kubernetes (EKS) using Helm, including upgrades and troubleshooting.
Write and review Terraform scripts for AWS resource management.
Enhance CI/CD pipelines and automate deployment processes.
Develop tools and services in Python, Go, Java, or Bash to minimize manual operations.
Implement metrics, dashboards, and alerts using Prometheus and Grafana, and participate in on-call rotations after training.
Support data systems for detection, including Kafka, Flink, Spark, ClickHouse, and MySQL, while learning their performance under load.
Collaborate with the platform team to develop features for distributed, real-time systems.
Benefits
Health Insurance, including Extended Health Care, Vision Care, and Dental Care.
Life Insurance and Accidental Insurance.
Retirement Savings Plan.
Paid Vacation.
Full Job Description
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
About DataVisor
DataVisor is an artificial intelligence company that provides fraud detection and prevention solutions for financial services, e-commerce, and social platforms. The company was founded in 2013 and is headquartered in Santa Clara, California. DataVisor uses machine learning algorithms to analyze large amounts of data and detect fraudulent activities in real-time. The company's solutions can help businesses reduce fraud losses, improve customer experience, and increase operational efficiency. DataVisor has partnerships with major financial institutions and e-commerce companies and is backed by several venture capital firms.
