Senior DevOps Engineer, DataVisor

Salary not provided
AWS
Docker
Kubernetes
GCP
Python
Java
Kafka
Linux
Cassandra
Terraform
Jenkins
Ansible
Azure
Spark
Prometheus
Maven
Flink
Senior level
Toronto
DataVisor

ML-powered fraud detection

Open for applications

DataVisor

ML-powered fraud detection

101-200 employees

B2BArtificial IntelligenceSecurityEnterpriseBig dataDeep TechAnalyticsMachine LearningSaaSAPICyber SecurityIdentityFraud

Open for applications

Salary not provided
AWS
Docker
Kubernetes
GCP
Python
Java
Kafka
Linux
Cassandra
Terraform
Jenkins
Ansible
Azure
Spark
Prometheus
Maven
Flink
Senior level
Toronto

101-200 employees

B2BArtificial IntelligenceSecurityEnterpriseBig dataDeep TechAnalyticsMachine LearningSaaSAPICyber SecurityIdentityFraud

Company mission

To deliver the world’s most sophisticated AI-powered solutions to keep companies and their customers safe from fraud and abuse.

Role

Who you are

  • 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
  • Strong sense of responsibility and excellent communication skills

Desirable

  • 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
  • Experience with monitoring tools like Prometheus and continuous integration tools like Jenkins, GitHub, and Maven

What the job involves

  • The Infrastructure team at DataVisor is vital. Our work supports the company's backbone, managing distributed and highly robust systems that keep business operations running smoothly even as we process petabytes of data requiring sub-second response times
  • We embrace and champion Infrastructure as Code (IaC) to automate and streamline our infrastructure management processes using cutting-edge technologies such as Spark, NoSQL databases, Kafka, and Kubernetes
  • As a Senior DevOps Engineer on our infrastructure team, your responsibilities will pivot towards leveraging IaC methods to enhance operational efficiencies and system reliability
  • Develop and maintain Infrastructure as Code using tools like Terraform and Ansible to manage and provision our cloud and on-premise infrastructure through code
  • 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, maintaining service availability around the clock
  • Lead distributed system operations including capacity planning, resource scheduling, and ensuring system and network security
  • Formulate and optimize operational solutions focusing on system scalability, resource optimization, and high-availability constructions

Our take

As the use of online shopping and banking continues to rise, so too does the opportunity for fraud, with criminals exploiting the gaps in defences that come with an increasingly novel digital environment. DataVisor provides the leading fraud detection solution that leverages machine learning to identify threats, to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.

Traditional fraud solutions have not been designed to handle digital data, and they are especially ill-equipped to deal with quickly changing environments. By employing advanced ML, DataVisor can identify the patterns which allude to fraudulent behaviour, allowing organisations to respond immediately and prevent losses before they happen. Another problem with some systems has been that, in the name of security, they might delay ultimately good customers from accessing services. With DataVisor this becomes a non-issue, as the pattern of a non-malicious user can also be identified with speed.

DataVisor has seen considerable investment - that will fuel its continued expansion across the globe - and has an impressive list of customers. The company has also made several partnerships that will act towards strengthening its product offering. For example, it is extending its analytics and fraud detection through partnership with Equifax, by gaining access to its rich consumer identity data.

Steph headshot

Steph

Company Specialist

Insights

Led by a woman
Top investors

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 3 rounds)

Dec 2022

$40m

LATE VC

Feb 2018

$40m

SERIES C

Total funding: $94.5m

Company benefits

  • Stock Options
  • Commuter Passes
  • Paid Time Off
  • Catered Lunch and Dinner
  • Team and Company Outings

Company values

  • Take a results-driven approach.
  • Prioritise team spirit and hard work.
  • Be honest, curious, and maintain the highest levels of integrity.

Company HQ

Mountain View, CA

Leadership

Extensive experience in security and AI. Previously a Senior Researcher at Microsoft Research.

Fang Yu

(CPO)

Former Senior Researcher at Microsoft Research, with vast experience in big-data algorithms.

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