Arkose Labs is hiring a
Senior Data Infrastructure Engineer

Summary

Join us in shaping the future of technology. As a Data Infrastructure Engineer at Arkose Labs, you will play a crucial role in designing, implementing, and maintaining our data infrastructure.

Requirements

• Must have
• Have already come from a well oiled platform team

Responsibilities

• 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)

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