Senior DevOps Engineer

3 weeks ago

Toronto, Ontario, Canada DataVisor Full time

DataVisor is a next-generation security company that utilizes industry-leading unsupervised machine learning to detect fraudulent activity across various domains. Our solution is trusted by some of the largest internet properties in the world, safeguarding them against the ever-increasing risk of fraud. Our award-winning software is backed by a team of world-class experts in big data, security, and scalable infrastructure.

Infrastructure Team Overview

The Infrastructure team at DataVisor is vital, managing distributed and highly robust systems that keep business operations running smoothly. We champion Infrastructure as Code (IaC) to automate and streamline our infrastructure management processes using cutting-edge technologies.

Position: Senior DevOps Engineer

As a Senior DevOps Engineer, your responsibilities will pivot towards leveraging IaC methods to enhance operational efficiencies and system reliability. You will:

  • Develop and maintain Infrastructure as Code using tools like Terraform and Ansible to manage and provision our cloud and on-premise infrastructure.
  • Design, develop, and maintain CI/CD pipelines for automated testing and deployment of both infrastructure and applications.
  • Optimize architecture continuously by implementing and refining automated operation and maintenance tools, monitoring systems, and alarms.
  • Ensure high availability and resilience by responding to and resolving various online incidents.
  • Lead distributed system operations including capacity planning, resource scheduling, and ensuring system and network security.

Requirements

  • Profound understanding of network infrastructure, including equipment, protocols, and operational management.
  • Extensive experience with network and infrastructure automation tools and technologies.
  • Proficiency in IaC and familiar with DevOps methodologies and practices.
  • Strong background in the Linux operating environment, system configuration, and troubleshooting.
  • Experience with large-scale cloud services and a deep understanding of cloud computing products.
  • Knowledge of container technologies and platforms such as Docker and Kubernetes.
  • Skilled in using configuration management and orchestration tools, notably Ansible.
  • Proficiency in programming and scripting languages such as Shell, Python, Java, with proven development experience.

Preferred Qualifications

  • Experience with cloud platforms like AWS, GCP, Alibaba Cloud, Azure.
  • Expertise in Terraform for infrastructure provisioning.
  • Familiarity with big data technologies such as Spark, Flink, Cassandra, and Kafka.

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