Data Infrastructure Engineer

Job Description

Job Description

Data Infrastructure Engineer

$90k - $140k

Who We Are.

Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass.

Grass is a network sharing application that allows users to share their unused bandwidth. Effectively, this is a residential proxy network that directly rewards individual residential IPs for the bandwidth they provide.

Grass will route traffic equitably among its network and meter the amount of data that each node provides to fairly distribute rewards.

In non-technical terms : Grass unlocks everyone's ability to earn rewards by simply sharing their unused internet bandwidth on personal devices (laptops, smartphones).

This project is for those who lead with initiative and seek to challenge themselves and thrive on curiosity.

We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them.

We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them.

Join us if you want to set the tone for a fair and equitable internet.

The Role.

We are looking for a talented engineer with a background in distributed systems to join our data team. In this role, you will be responsible for designing, implementing, and maintaining scalable, high-performance distributed systems.

You will work closely with our webscraping and infrastructure teams to ensure the reliability and performance while scaling our data engineering processes.

Who You Are.

• Proven experience in designing, deploying, and managing distributed systems.
• Strong proficiency in DevOps tools and practices, including CI / CD, automation, and configuration management.
• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
• Solid understanding of cloud platforms (AWS, GCP, Azure) and their services.
• Proficiency in scripting languages such as Python, Bash, or similar.
• Strong problem-solving skills and a proactive approach to identifying and addressing issues.

What You'll Be Doing.

• Design and implement scalable, distributed systems to support our growing infrastructure.
• Develop and maintain CI / CD pipelines to streamline deployment processes.
• Monitor system performance and troubleshoot issues to ensure high availability and performance.
• Implement security best practices to safeguard our systems and data.

Why Work With Us.

• Opportunity. We are at at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process, and share in the benefits of AI development.
• Culture. We're a lean team working together to achieve a very ambitious goal of improving access to public web data and distributing the value of AI to the people.

We prioritize low ego and high output.

• Compensation. You'll receive a competitive salary and equity package.
• Resources and growth. We're well-capitalized, with backing from leading venture funds like Polychain, Tribe, NLH, Hack, BH Digital, and more.

We keep a lean team, and this is a rare opportunity to join. You'll learn a lot and grow as our company scales.