Director of Engineering (Core Database)

• Yugabyte is seeking an experienced and accomplished Director of Engineering to lead key aspects of our distributed SQL database development
• This leader will drive the architecture, development, and delivery of core transactional, storage, and distributed systems components, ensuring YugabyteDB maintains industry-leading performance, scalability, and resilience. They will also manage and mentor our growing team
• You will lead one or more critical engineering teams focused on the heart of YugabyteDB, bringing technical depth in database internals and distributed systems to mentor and grow a world-class engineering organization
• Technical Strategy & Architecture: Define and drive the technical roadmap and architecture for core database components, including the storage engine (LSM/RocksDB), transactional layer, distributed consensus (RAFT), and multi-master replication (xCluster)
• Engineering Execution: Own the end-to-end development, quality, performance, and operational excellence of your teams’ components, ensuring deployment in cloud-native environments (e.g., Kubernetes)
• Team Leadership & Mentorship: Recruit, mentor, and manage high-performing engineering teams. Foster a culture of deep technical ownership, collaboration, and continuous improvement
• Systems Scaling & Reliability: Lead projects focused on write scaling, improving concurrency (e.g., DDL concurrency), ensuring cache coherency, and achieving 99.995% availability in distributed, multi-tenant, cloud-native environments
• Cross-Functional Collaboration: Partner closely with Product Management, Technical Leadership (TDs/CTO), and other engineering teams (Query Optimizer, QA) to define requirements and deliver integrated, impactful features

Benefits

• Health Insurance
• Company Stock Options
• Retirement Plans
• Home Office Set-Up Reimbursement
• Professional Development Reimbursement
• Quarterly Wellness Days Off
• Unlimited PTO
• Childcare benefits
• Performance bonuses- This role requires a mix of software architecture expertise to design and implement practical solutions, as well as the ability to work closely with developers to identify patterns and tools that simplify solution building
• This position demands a blend of hands-on architectural expertise, large-scale systems design, and the ability to execute against an ambitious product roadmap, with a deep understanding of transactional databases, distributed systems, and microservice-based applications
• The ideal candidate will have demonstrated senior leadership in domains directly applicable to distributed databases:
• Experience: 10+ years of progressive software development experience, with at least 3+ years in a Director role managing multiple teams or critical product areas
• Distributed Systems & Cloud-Native Architectures: Proven ability to design and deliver internet-scale, highly available, multi-tenant distributed systems, leveraging technologies such as Service Fabric, distributed lock managers, distributed transaction managers, and cloud object storage
• Scalability and Performance: Direct experience resolving performance bottlenecks (e.g., range scans, nested loop joins) and re-architecting systems for massive scaling (e.g., separating log/data, multi-writer architectures)
• Database Internals Expertise: Substantial experience designing and developing core components of production-grade relational or distributed database engines (e.g., storage/access layer, buffer cache, logging, recovery, lock management, indexing, LSM)
• Core Programming Languages: Hands-on experience in systems programming languages, particularly C/C++ and Go
• YugabyteDB/PostgreSQL: Experience with PostgreSQL internals or PostgreSQL-compatible distributed databases
• NoSQL Databases: Familiarity with NoSQL databases
• Data Technologies: Experience with technologies common in the Yugabyte ecosystem, such as Apache Bookkeeper, Spark, Kafka, or other NoSQL/Graph databases (e.g., Neo4J)
• Open Source & Research: Contributions to open-source database projects, patents, or successfully integrating research concepts (e.g., ML-based anomaly detection) into products
• Cloud & Kubernetes: Hands-on experience with modern public cloud infrastructure and cloud-native technologies such as Kubernetes and Prometheus