Junior Infrastructure Engineer

🔥 13 hours ago

🇨🇦 Canada – Remote

💵 $80k - $120k / year

⏰ Full Time

⚪️ Entry-level

👷 Infrastructure Engineer

👻 Ghost score 8%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 84 days.

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DataVisor

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Deploy and operate services on Kubernetes (EKS) with Helm • Help with infrastructure 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 to remove manual operations work • Add metrics, dashboards and alerts in Prometheus and Grafana • Join the on-call rotation once ramped up • Help run data systems behind detection, including Kafka, Flink, Spark, ClickHouse and MySQL • Work with the platform team on features for distributed, real-time systems • Operate production infrastructure and write automation, internal tools and platform services • Take on real production ownership in the first months with mentorship from senior engineers

🎯 Requirements

• 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 • Comfort working in Linux • Exposure to containers and Kubernetes (Docker, Kubernetes, Helm) through work, an internship, or own projects • Familiarity with a public cloud; AWS preferred • Interest in infrastructure as code • Understanding of networking basics, including DNS, TCP/IP and load balancing • Understanding of how distributed systems fail • Degree in Computer Science, Computer Engineering, Electrical Engineering, Electronics or a related field, completed or finishing soon • Nice to have: Computer Engineering, Electrical Engineering or Electronics background with hands-on hardware, systems or networking knowledge • Nice to have: Terraform, CI/CD (GitHub Actions, Jenkins, ArgoCD) or monitoring tools used in a real setting • Nice to have: Experience with Kafka, Spark or a SQL database beyond coursework • Nice to have: Interest in fraud, risk or payments • Nice to have: Use of AI or LLM tools to automate work

🏖️ Benefits

• 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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