The mission of Arkose Labs is to create an online environment where all consumers are protected from online spam and abuse. Recognized by G2 as the 2023 Leader in Bot Detection and Mitigation, with the highest score in customer satisfaction and largest market presence four quarters running, Arkose Labs offers the world's first $1M warranties for credential stuffing and SMS toll fraud. With 20% of our customers being Fortune 500 companies, our AI-powered platform combines powerful risk assessments with dynamic threat response to undermine the strategy of attack, all while improving good user throughput. Headquartered in San Mateo, CA, with employees in London, Costa Rica, Australia, India, and Argentina. Arkose Labs protects enterprises from cybercrime and abuse.

Responsibilities

  • Work on one of highest-traffic SaaS services running at a global scale, serving ~500 million requests per day and increasing
  • Work on building highly-available, zero downtime, distributed software systems to help combat fraud
  • Help build software that spans from the browser all the way down to analytics data pipelines -  our engineers work to support a dedicated data science/blue watch team
  • Work within an agile, cross-functional team (SWE, SRE, QE) to build out and own services and projects, from requirements + specs to release and maintenance
  • Help with migrating from a monolithic system and AWS lambdas to a microservices-based architecture running on Kubernetes

Must Haves

  • 5+ years full stack experience with stronger frontend modern programming languages e.g. ReactJS/JavaScript, 
  • 2+ years of experience with backend programming skills. e.g. GoLang, NodeJS, Python etc.
  • 3+ years of experience with cloud hosted microservices (we are currently on AWS but moving to Azure, running k8s) - we don’t need expertise with a specific vendor
  • 3+ years of NoSQL/relational database experience - specific tech not important, but concepts are
  • 3+ years of experience with concurrent/asynchronous programming techniques
  • 2+ years of experience with distributed systems/computing (especially microservices)
  • Focus on open source, linux-based software/services and tooling
  • Knowledge of web/HTTP concepts and methodologies

Nice to Haves

  • UX design experience.
  • Any experience with Data analytics with DAG (Directed Acyclic Graph)
  • Experience working with CI/CD pipelines
  • Experience with Docker/containers
  • Experience with agile development (Scrum/Kanban)

At Arkose Labs, our technology-driven approach enables us to make a substantial impact in the industry, supported by a robust customer base consisting of global enterprise giants such as Microsoft, Roblox, OpenAI, and more. We’re not just a company; we’re a collaborative ecosystem where you will actively partner with these influential brands, tackling the most demanding technical challenges to safeguard hundreds of millions of users across the globe.

Why do top tech professionals choose Arkose Labs?

Cutting-Edge Technology: Our high-efficacy solutions, backed by solid warranties, attract leading, global enterprise clients.

Innovation and Excellence: We foster a culture that emphasizes technological innovation and the pursuit of excellence, ensuring a balanced and thriving work environment.

Experienced Leadership: Guided by seasoned executives with deep tech expertise and a history of successful growth and equity events.

Ideal Size: We’re structured to be agile and adaptable, large enough to provide stability, yet small enough to value your voice and ideas.

Join us in shaping the future of technology. At Arkose Labs, you’re not just an employee; you’re part of a visionary team driving global change”

Work with some of the biggest names in the market, such as Microsoft, Paypal, EA, Github, Twitch, Roblox, Twilio, and Minecraft! 

The most recognizable brands in the world select Arkose Labs, including OpenAI, Roblox, Microsoft, Adobe, Expedia, Snapchat, Zilch, and ZipAir.

We value your unique contributions, perspectives, and experiences. Be part of a diverse and high-performing environment that prioritizes collaboration, excellence, and inclusion. We hire the best, focus on their professional development, and offer support for continuing education.

We value:

  • People - independent thinkers making data-driven decisions and taking project ownership
  • Teamwork - building trust, respect, and integrity to openly communicate and constructively challenge one another
  • Customer Focus - customer empathy and problem-solving obsession
  • Execution - actions with precision, professionalism, and urgency
  • Security -  our lens for implementing processes, procedures, and programs

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. In addition, Arkose Labs will provide reasonable accommodations for qualified individuals with disabilities.

Benefits:

  • Competitive salary
  • 401k plan with company match
  • Robust benefits package - 90% medical, dental, vision coverage for employees and 75% for dependents
  • Flexible PTO
  • Life insurance coverage
  • Flexible working hours to support personal well-being and mental health
  • WorkLifeMatters Employee Assistance Program

The anticipated salary range for this position is $190,000-210,000. Equity and benefits may be provided as part of the compensation package, depending on the position offered. Not all candidates will be eligible for the upper end of the salary range. The exact salary will ultimately depend on multiple factors, which may include the successful candidate’s skills, experience, and other qualifications as well as the candidate’s location of residence. In addition to base salary, some roles may be eligible for a variable bonus based on a combination of company performance, employee performance, and management discretion.

 

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