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.

Need to 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?

Join an early-stage, fast-growing startup with pioneering technology built by passionate and ambitious people. 

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

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

Benefits:

• Competitive salary Equity401k 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

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.

All employees of Arkose Labs are required to comply with its COVID-19 Vaccination Policy, which includes individual vaccination requirements for U.S. in-office attendance and/or travel to any U.S. company-sponsored events. If any travel or in-office attendance is a required part of the position to which you are applying, you may be required to provide evidence of your vaccinated status as a condition of accepting employment with Arkose Labs.

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.