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White Ops // digital ad fraud detection
 
Engineering, Full Time    London, Greater London, England, United Kingdom, New York City, United States    Posted: Tuesday, September 15, 2020
 
   
 
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JOB DETAILS
 

At White Ops, we are all about keeping it human. We are the global leader in bot mitigation. We protect more than 200 enterprisesincluding the largest internet platformsfrom sophisticated bots by verifying the humanity of nearly one trillion online interactions every week. The most sophisticated bots look & act like humans when they click on ads, visit websites, fill out forms, take over accounts, & commit payment fraud. We stop them.

Founded in 2012 in a Brooklyn sci-fi bookstore, our Bot Mitigation Platform protects enterprises from the sophisticated bots that threaten them. Its an ongoing war that we fight passionately every day. Join our mission to stop bots, disrupt the economics of cybercrime, & keep it human.

About the role:

You will be part of the Detection Tools team. The adversaries White Ops encounters in our day-to-day aren't just bedroom hackers. They are technically adept & savvy fraudsters, operating at a scale & agility that makes their 'enterprise' profitable. Therefore, our detection team needs the support of experienced software engineers who build quality systems that are resilient to change. This is why you're key to our team.  We are the team that supports internal detection teams to perform their job at their best. We create software that automates processes, provides timely data, & increases the productivity of our humans. In short, we are the team that makes humans in WhiteOps behave like humans. We incarnate the principle of Tau: find the levers for disproportionate impact inside the company.

What you will do:

  • We are a Software engineering team. You will be responsible for designing, planning, creating, & maintaining software
  • Our customers are internal. You will need to be proactive in reaching out to your users, ensure their requirements are met & that your work aligns with what they do
  • we have an open & flat organization. You will be expected to provide feedback, generate movement, help the team & the company to improve how it operates.
  • Keep on learning. Our customers work in different ecosystems, & you will need to learn something new every day.
  • Be willing to get exposure to a lot of different things. You will be doing data ingestion, high-volume pipeline control, machine-learning-based tools, web servers, automated monitoring. Possibilities are endless!

Who you are:

  • a Software Engineer. You consider yourself a software engineer, you love to code, you love to develop & run software
  • You know Python. You speak Python as a second language, You love the language & have opinions on what is "Pythonic" & what isn't.
  • Even better, you have exposure to Golang or a Javascript-based frontend. If you dont, you are willing to learn.
  • You love automation & you hate busywork. That is, the idea of repeating the same task twice horrifies you.
  • You know that everything is possible, & you're excited about assuming different roles & working on different things. However, you're experienced enough to identify good ideas from bad, & you protect your precious time in order to focus on building what matters

Benefits & Perks

  • Unlimited holiday
  •  Stock options
  • Competitive salary & commission structure
  •  Private medical & dental insurance for all full-time employees
  • Fully paid parental leave
  • Professional development fund
  •  Weekly catered lunches & happy hours
  • Great coaching from senior leaders & challenging development opportunities

Life at White Ops:

Our HQ office is located in the heart of New York City. We are growing the company deliberately with a keen eye towards maintaining a culture that values diversity, lifestyle, & career growth. We are doing meaningful work & we need people to join our mighty team. We are proud of our overwhelmingly positive presence on Glassdoor & Built in NYC. We have offices located in NYC, DC, Victoria, & London. 

 
 
 
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