ScyllaDB is a leading provider of high-performance, highly scalable NoSQL database solutions. Established with a vision to overcome the limitations of traditional databases, we have engineered a robust, open-source database that delivers exceptional speed, low-latency, and unmatched reliability. Our mission is to empower businesses to achieve new heights of efficiency, scalability, and agility in managing their data.
The co-founders of ScyllaDB, Dor Laor and Avi Kivity, represent the company’s DNA that is well established in the open source community - originally introducing KVM to the Linux kernel.
The culture in ScyllaDB reflects that openness.
Even as a rapidly growing business, we strive to preserve the qualities of the startup spirit, by keeping management overhead low and encouraging developers to innovate and contribute both as individuals and as part of the whole team, while adhering to the highest standards of quality by producing high quality, well reviewed and tested code, and implementing sophisticated automated system testing, management and support tools.
ScyllaDB Core is a group of circa 30 engineers focused on making Scylla Open Source and Scylla Enterprise products great. We work on all areas of the product, including log-structured merge tree storage, the query compiler and execution engine and clustering, i.e. re-balancing the data in and automatically restoring from a degraded state.
ScyllaDB core server is open source. It is built over the high-performance Seastar framework which allows us to get the 10x performance using a shard-per-core architecture with asynchronous, cooperative preemption scheduling and share-nothing memory management. ( tutorial ).
Responsibilities:
- Design and develop comprehensive tests for new and existing features of the Scylla Database/Cloud.
- Collaborate effectively with a larger, distributed team to ensure seamless integration and execution.
- Contribute to the design and implementation of new features by providing valuable input and feedback.
- Enhance and stabilize existing tests to ensure consistent and reliable performance.
- Monitor and analyze test runs to identify issues and optimize performance.
- Proactively suggest and implement improvements to existing workflows and processes.
Requirements:
- At least 3 years of Python automation development.
- Experience with testing modern distributed systems (Databases, Storage, File Systems, etc.)
- Team Player with the ability to work independently and strong communication skills
- Experienced working in collaborative virtual teams (Slack chat, Zoom conferencing, Google G Suite applications or equivalent)
- Deep-level understanding of Linux and related applications and utilities.
- Experience using public source code repositories (Github, Gitlab)
- English- Fluent
Advantages:
- Experience with modern developer and DevOps environments, tools, and practices (Docker, Kubernetes, blue/green deployments, database migrations, etc.)
- Hands-on experience with Database-as-a-Service (DBaaS) solutions
- Experience working in a remote position
- Experience in Open Source development
- Experience with modern public cloud services (AWS, Google Cloud, Azure)
