Cloud Computing Engineer with Fraud Prevention Expertise

hace 3 días


San José, San José, Costa Rica Arkose Labs A tiempo completo

About Arkose Labs

Arkose Labs is a pioneering startup that leverages cutting-edge technology to disrupt the fraud industry. Backed by top-tier investors, including Softbank and Microsoft, our innovative approach undermines the economic drivers behind fraud.

The Arkose Labs Fraud and Abuse Prevention Platform combines real-time intelligence, rich analytics, and adaptive step-up challenges to diminish the profitability of attacks while adapting to evolving attack patterns. Our platform offers a 100% SLA guarantee, making it an unparalleled solution in the market.

As a cloud computing engineer at Arkose Labs, you will work on high-traffic SaaS services running at a global scale, serving hundreds of millions of requests per day. Your expertise will be invaluable in building highly available, zero-downtime, distributed software systems to combat fraud.

You will collaborate within an agile, cross-functional team to build out and own services and projects, from requirements and specifications to release and maintenance. This role requires experience with back-end programming languages such as Golang, Node.js, Java, or Python, as well as cloud computing, NoSQL/relational database management, concurrent/asynchronous programming techniques, and distributed systems/computing.

Required Skills and Qualifications

  • 1+ years experience in a commercial environment using back-end programming languages
  • 1+ years experience with cloud computing
  • 1+ years NoSQL/relational database experience
  • 1+ years experience with concurrent/asynchronous programming techniques
  • 1+ years experience with distributed systems/computing

Benefits

We provide home office setup assistance to optimize your remote working experience. Arkose Labs is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law.

Estimated Salary: $140,000 - $200,000 per annum, depending on location and experience.



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