Senior Site Reliability Engineer, DataVisor

US/Canada

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Java

Bash

Linux

MySQL

Azure

Spark

Flink

Senior level

Remote from Canada, US

Fraud & AML detection platform

Job no longer available

Fraud & AML detection platform

101-200 employees

B2BArtificial IntelligenceSecurityEnterpriseBig dataDeep TechAnalyticsMachine LearningSaaSAPICyber SecurityIdentityFraud

Job no longer available

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Java

Bash

Linux

MySQL

Azure

Spark

Flink

Senior level

Remote from Canada, US

101-200 employees

B2BArtificial IntelligenceSecurityEnterpriseBig dataDeep TechAnalyticsMachine LearningSaaSAPICyber SecurityIdentityFraud

Company mission

To build and restore trust online.

Job

Company

Role

Who you are

The ideal candidate will have a passion for building reliable systems, experience with automation, and a solid understanding of large-scale distributed systems
5+ years of experience with production environment running Linux
3+ years of experience working with cloud solutions such as AWS, Azure or Aliyun
Familiar with big data technology such as Spark and/or Flink
Love to automate tasks through coding and scripting
Experience with algorithms, data structures, complexity analysis and software design
Code well on Python, Java and Bash

Desirable

Familiar with container technology such as Docker, Kubernetes
Experience with database system best practices on Yugabyte, Clickouse and MySQL etc
Strong understanding of security best practices
Completed a SOC 2/PCI certification in the past is a big plus

What the job involves

You will work closely with the engineering team to improve reliability, scalability, and performance across our infrastructure
You will report to CTO direclty and be working with a team of seasoned engineers to automate, increase the reliability and enhance the security of our production environment
Projects include scaling our global, multi-cloud footprint, optimize our large real-time decision platform and improve the reliability of our global cloud footprint
Design, implement, and maintain release automation pipelines to streamline the deployment process
Develop systems for proactive monitoring, auto-diagnosis, and incident resolution in production environments
Work with big data platforms such as Apache Spark or Apache Flink, optimizing and scaling our data processing pipelines
Perform maintenance and troubleshooting for databases, with preference for experience in Yugabyte, ClickHouse, and MySQL
Ensure the reliability of cloud infrastructure using Kubernetes on AWS or GCP
Participate in on-call rotation to ensure system reliability, with a focus on automation to minimize manual intervention
Collaborate with engineering teams to improve system performance and manage capacity planning

Our take

As use of the internet rises, so too does the opportunity for fraud - with criminals exploiting the gaps that come with novel digital environments. DataVisor provides a fraud detection solution that leverages machine learning to identify threats. This helps to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.

Traditional fraud solutions were not designed to handle digital data, and are ill-equipped to deal with quickly changing environments. By employing advanced ML, DataVisor can identify patterns which suggest fraudulent behaviour, allowing organisations to respond immediately and prevent losses before they happen.

Another problem has been that, in the name of security, systems might delay good customers from accessing services. With DataVisor, however, 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 has fuelled its continued expansion. It also boasts an impressive list of customers and partnerships. For example, a partnership with Equifax allowed it to extend it analytics and fraud detection capabilities. It has also launched the industry’s first unified, AI-powered SAR filing solution.

Steph

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

Glassdoor (4.4)

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 HQ

Mountain View, CA

Leadership

Yinglian Xie

(CEO & Co-founder)

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

Fang Yu

(CPO & Co-founder)

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

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