Storage Engineer

Storage Engineer

$120k - $180k

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 seeking a Storage Engineer to build, optimize, and scale our storage infrastructure. You will join a small, high-performing team to design and implement storage solutions that support our rapidly growing data needs. Your role will be pivotal in ensuring the reliability, security, and efficiency of our storage systems, directly contributing to our mission of democratizing AI.

Who You Are.

• Bachelor’s degree in Computer Science, Information Systems, or a related technical field.
• Extensive experience with storage systems such as AWS S3, Google Cloud Storage, or Azure Blob Storage.
• Proficiency in storage protocols (NFS, iSCSI, Fibre Channel) and experience configuring storage networks.
• Hands-on experience with backup, recovery, and disaster recovery strategies for large-scale data storage.
• Experience with automation tools like Terraform, Ansible, or CloudFormation to manage storage resources.
• Solid understanding of distributed storage architectures, including RAID, SAN, and NAS configurations.
• Proficiency in monitoring and optimizing storage performance and capacity.
• Familiarity with storage security best practices, including encryption, access controls, and compliance regulations.
• Strong troubleshooting and problem-solving skills for addressing storage issues and ensuring data integrity.
• Knowledge of containerized environments (e.g., Docker, Kubernetes) and their storage integration.
• Collaborative team player with strong communication skills to work with cross-functional teams.

What You'll Be Doing.

• Designing, implementing, and managing scalable storage solutions to support large volumes of structured and unstructured data.
• Developing strategies for data backup, recovery, and disaster recovery to ensure business continuity.
• Monitoring and optimizing the performance and capacity of storage systems to meet evolving data needs.
• Automating the deployment and configuration of storage infrastructure using tools like Terraform and Ansible.
• Collaborating with data engineers, analysts, and developers to ensure efficient data storage and accessibility.
• Implementing storage security protocols to protect sensitive data and ensure compliance with industry standards.
• Troubleshooting storage-related issues and optimizing the performance of storage networks and systems.
• Managing storage integrations in cloud environments (AWS, GCP, Azure) to support scalable infrastructure.
• Staying up-to-date with the latest advancements in storage technologies, protocols, and best practices.

Why Work With Us.

• Opportunity. We are 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.