What are the responsibilities and job description for the Data Infrastructure Engineer position at Wynd Labs?
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.
Why Work With Us.
Salary : $90,000 - $140,000