About the company
SingleStore delivers a real-time, distributed SQL database that unifies transactional and analytical workloads. Our engineers build cloud-native software for some of the world's most demanding data-intensive applications.
About the team
SingleStore Flow is an enterprise data migration and integration product that helps customers move data into SingleStore reliably and at scale. The team builds the systems that support schema transfer, bulk data loading, real-time Change Data Capture (CDC), large-table migrations, and a native experience in SingleStore Helios.
Responsibilities
- Set technical direction for significant areas of Flow, including the migration engines, CDC pipeline, schema evolution, large-table migration, source-to-target data correctness, Flow APIs, Helios integration, and agent-assisted migration workflows.
- Lead the design and delivery of large, complex, release-defining projects from problem definition through production rollout.
- Make pragmatic architecture and build-versus-defer decisions.
- Design and implement production-quality software while remaining hands-on in the codebase.
- Solve difficult, ambiguous problems involving data consistency, replication, schema drift, throughput, memory use, concurrency, failure recovery, and backward compatibility.
- Establish a high bar for technical design, code quality, testing, observability, security, and operational readiness.
- Drive root-cause analysis for customer-impacting issues.
- Improve the team's ability to operate Flow in production through runbooks, dashboards, release discipline, incident response, and shared ownership of service health.
- Partner closely with Product Management, Engineering, Support, Solutions, and customers.
- Mentor engineers, lead design and code reviews, distribute technical context.
- Create clear technical documentation.
- Advance AI-native development practices and agentic capabilities.
Requirements
- Significant professional experience building and operating production software, typically 10+ years.
- Expert-level experience with Java including the ability to debug and improve complex, long-lived enterprise-grade codebases.
- Experience using JDBC with one or more databases, including working with SQL metadata, SQL datatypes, schema information, database-specific behavior, connection pooling, SQL execution, Apache Avro, Protocol Buffers, or similar serialization and integration technologies.
- Strong understanding of databases and data-intensive systems, including transactions, replication, indexing, connection management, and data consistency.
- Deep experience with MySQL and PostgreSQL.
- Experience with Java performance engineering, including concurrency, thread pools, garbage collection, memory pressure, or back-pressure.
- Hands-on experience with Change Data Capture or comparable streaming and replication technologies.
- Demonstrated experience designing reliable, scalable distributed systems.
- Experience with cloud-native services and container orchestration, preferably Kubernetes.
- Track record of leading large technical initiatives and making architecture decisions across team or functional-area boundaries.
- Strong testing discipline, including unit, integration, end-to-end, regression, performance, and failure-mode testing.
- Experience investigating production issues, writing root-cause analyses, and converting operational learnings into engineering improvements.
- Experience with observability, profiling, metrics, distributed tracing, and production dashboards.
- Excellent written and verbal communication.