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Senior Data Infrastructure Engineer

San Mateo, CA

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.

Position Summary

As a Data Infrastructure Engineer, you will play a crucial role in the design, implementation, and maintenance of our data infrastructure. Your deep understanding of Kafka and Data Lake technologies will enable you to develop robust, scalable, and efficient data pipelines that support real-time and batch data processing needs across the organization.

Must have:

  • Design and implement scalable data pipelines using Kafka for real-time data streaming and integration.
  • Experience with writing automation tools, and/or working with Infrastructure as Code (Terraform, Ansible, Chef)
  • Develop and maintain Data Lake architecture (Imply, Snowflake, Data bricks, etc), ensuring secure and efficient data storage, retrieval, and management.
  • Collaborate with data scientists and analysts to understand data needs and implement systems that support data analysis and machine learning projects.
  • Monitor and optimize the performance of the data infrastructure, including data ingestion, storage, and processing workflows.
  • Implement data governance and security policies to ensure data integrity and compliance with industry regulations.
  • Work closely with the IT and development teams to integrate data infrastructure with existing systems and platforms.
  • Some experience with server-side modern programming languages (e.g. Node.js/JavaScript, Python, Golang)
  • Strong knowledge of SDLC concepts and methodologies.
  • Focus on open source, linux-based software/services and tooling
  • Experience with agile development (Scrum/Kanban)
  • Familiarity with other cloud services (Azure, Google Cloud).

Nice to have:

  • Have already come from a well oiled platform team

Why Arkose Labs?

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

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: first and foremost they are our most valuable resource. Our people are independent thinkers who make data driven decisions and take ownership and accountability in all the things they do.
  • Team Work. We demonstrate respect, trust, integrity, and communicate openly with a positive can do attitude and constructively challenge one another
  • Customer Focus. We empathize with our customers and obsess about solving their problems
  • Execution with precision, professionalism and urgency
  • Security. It’s the lens through which we implement our processes, procedures, and programs

Benefits:

  • Competitive salary + Equity
  • 401k plan 
  • Robust benefits package- 85% medical, dental, vision coverage for employees and 75% for dependents
  • Flexible PTO
  • Life insurance coverage
  • Short and Long Term Disability Insurance paid by the company
  • Generous nationwide parental leave policy
  • Amazing discounts program 
  • Wellbeing package including mental health and gym discounts
  • Flexible working hours to support personal well-being and mental health
  • Employee Assistance Program

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.

The anticipated salary range for this position is $170,000.00 to $190,000.00. 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.

#LI-Remote  #LI-Midsenior

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