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

ML-powered fraud detection

Job no longer available

ML-powered fraud detection

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

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 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

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)

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.

Share this job

View 16 more jobs at DataVisor