Senior Rust Backend Engineer
3 weeks ago
Join Nextdata and Shape the Future of Data
Nextdata is on a mission to make data mesh principles a reality at enterprise scale. Founded by Zhamak Dehghani, the creator of the Data Mesh, we're pioneering a data-mesh-native platform—Nextdata OS—that enables developers to share data responsibly through data product containers. We're transforming how data is created, shared, discovered, and used, making it more connected, faster, and fairer than ever before.
About the Role
As a Senior Rust Engineer, you will play a pivotal role in building solutions and platforms on top of data infrastructure using Rust as your primary coding language. You’ll collaborate closely with our engineering team to develop key components of the Nextdata OS, ensuring it’s robust, scalable, and secure for decentralized analytical and machine learning workloads.
You will apply your expertise in Rust to solve complex problems related to distributed systems, data platforms, and cloud infrastructure. Your contributions will be crucial to shaping the future of how data mesh is adopted by the industry, working with the latest technologies to deliver high-performance, production-grade solutions.
Your Role and Impact- Build with Rust: Develop and maintain data platforms and solutions using Rust, focusing on scalability, performance, and reliability.
- Data Infrastructure Expertise: Use your experience with data infrastructure to design and implement systems that support large-scale data and analytics workloads.
- Collaborate on Platform Development: Work with the broader team to build core components of the Nextdata OS, ensuring seamless integration with other tools and technologies.
- Drive Innovation: Contribute to the design and architecture of the platform, ensuring it meets the needs of modern data product developers and data mesh implementations.
- Work Across Technologies: Leverage your secondary proficiency in Python and other tools to complement your Rust work in building versatile and efficient solutions.
- 7+ years of experience working with production-grade distributed systems, data infrastructure, or data platforms.
- Proficiency in Rust as a primary coding language, with the ability to write clean, efficient, and scalable code.
- Experience with Python as a secondary language for data pipeline development or other complementary tasks.
- Cloud Infrastructure Knowledge: Experience with Kubernetes and at least one major public cloud provider (AWS, Azure, GCP).
- Experience in Distributed Systems: Knowledge of building large-scale data infrastructure and handling high-volume data processing.
- Problem Solving: Strong ability to solve complex technical challenges, especially related to data platforms.
- Collaboration and Communication: Team-focused attitude, with strong communication skills and the ability to work effectively in a collaborative environment.
- Experience with Data Mesh Concepts: Familiarity with data mesh principles or interest in learning from the creator of data mesh.
- Contributions to Open Source: Experience with big data or analytics open-source projects.
- SaaS/PaaS Experience: Familiarity with building cloud-based data solutions or working in a fast-paced startup environment.
- We offer a competitive salary and equity, giving you ownership in the company’s future.
- Premium health, vision, and dental insurance coverage for you and your dependents.
- Unlimited paid time off for flexibility and balance.
- $2,000 for your home workspace setup and a company laptop to get started.
About Us
At Nextdata, we believe that decentralization is the key to unlocking the true potential of data. Our flagship product, Nextdata OS, is a data-mesh-native platform designed to tackle the challenges of decentralizing data at enterprise scale. We're pioneering a new way for developers to work with data, enabling them to share it responsibly through data product containers and empowering AI, machine learning, and analytics with decentralized, responsible, and equitable data ownership that transcends organizational, technological, and trust boundaries.
Our vision is to transform the experience of creating, sharing, discovering, and using data by adhering to data mesh principles, making this process more connected, faster, and fairer than ever before. We recognize that the world of data is complex and ever-changing: data models become outdated rapidly; data is owned across different trust boundaries; it's stored on various platforms; used in multiple modes; and data can't protect itself. Previous centralized approaches to data collection, modeling, and governance are not only ineffective but can also be unfair. That's why our technology empowers data developers, users, and owners with a delightful experience, treating data products as first-class primitives with built-in trust—we're reimagining the world of data.
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