Senior Site Reliability Engineer, DataVisor
US/Canada
ML-powered fraud detection
Open for applications
ML-powered fraud detection
101-200 employees
Open for applications
101-200 employees
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
- 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
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
Articles
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.
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