Software Engineer

About MariaDB

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

The RoleYou will be responsible for the development and testing of a highly scalable, geo-distributed, highly performant database solution. You should have experience working on distributed software solutions and have a strong background working with on-premise and cloud-based solutions. You will also be responsible for managing a number of Software Engineers on the project.

Java Senior Software Engineer

Here at MariaDB we are seeking a highly motivated and experienced Java Senior Software Engineer to lead the development of our highly scalable, geo-distributed, and highly performant database solution. This role requires a strong background in distributed software solutions, experience with both on-premise and cloud-based environments, and proven leadership abilities. You’ll be joining a small, highly skilled team where your work will have a direct impact. Expect to dig deep into replication, sharding, concurrency, and performance optimization—making our systems faster, smarter, and more resilient. You’ll collaborate globally, contribute to open source, and push the limits of what a distributed database can do.

What You’ll Do

• Ensure the scalability, performance, and reliability of the database system.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Troubleshoot and resolve complex issues in distributed environments.
• Profile, debug, and fine-tune performance with tools like JFR, JMC, async-profiler and VisualVM—and your own tricks.
• Keep code clean and reviewable with Git.
• Develop and optimize the data structures for providing the best experience accessing data in high data-intensive scenarios.
• Implement the best way to store data to disk and send data over the network to other nodes (including failure handling and recovery after failures).
• Implement and integrate algorithms for high availability of the whole cluster.
• Investigate flaws in data consistency algorithms, which may require thorough debugging either on multi-node clusters and in low-level byte-represented data.