At Yugabyte, we are on a mission to become the default transactional database for the cloud. We are well underway on this journey with YugabyteDB, the open source, high-performance, distributed SQL database that runs on any cloud and enables developers to get instantly productive using well-known APIs. We are looking for talented and driven people to join us on our ambitious mission and help us build a lasting and impactful company.
We announced a $188M Series C round at a $1.3B valuation in October 2021, however we very much believe we are still in the early stages of our company’s journey. The transactional database market is estimated to grow from $40B in 2021 to $64B by 2025. Given our database is cloud-native by design, has on-demand horizontal scalability, and allows for geographical distribution of data using built-in replication, we are extremely well-positioned to address the market need for geo-distributed, high-scale, high-performance wordloads.
As a software engineering in the Platform & Cloud team, you will be designing and implementing a distributed control plane to manage the life cycle of YugabyteDB. The control plane is responsible for unified multiverse management of YugabyteDB across public cloud providers (AWS, Google Cloud, Azure), Kubernetes environments (open-source, GKE, EKS, PKS, AKS), and on-prem data centers including fault-domain aware provisioning, rolling upgrades, security, monitoring, and day-2 operations (backups, scaling etc). We are looking for software engineers who exemplify collaboration, who are driven and thrive in a fast-paced startup environment, and who have a strong desire to learn how to build an internet-scale, extensible control plane with strong emphasis on simplicity and user experience.
You’ll work alongside the best and the brightest engineering talent in the industry. As a core participant of your team, you’ll design your changes, estimate engineering efforts, implement and test your changes, push to releases, and triage production issues.
Work under the direction of senior developers on a project that you will get to present to other interns and rest of the engineering team
Work with your team members on timely and relevant projects that may be included in a future software release
Create back end services using Java, SQL, REST, Ansible, Kubernetes, Docker, and Python
Contribute to our suite of automated tests and testing infrastructure
B.S. or M.S. in Computer Science or related field
Strong understanding of CS fundamentals and how to apply them to code
Understanding of algorithms and data structures and how to efficiently implement them into a solution
Ability to produce clear, efficient and concise code
Nice to have:
Working knowledge of Java and Python
Familiarity with containers and cluster managers like Kubernetes
Ability to quickly learn new technologies
Course work in distributed systems and databases
Academic or professional/internship experience working in a professional coding setting is a plus
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