Staff Engineer, Flow: Real-Time Data Migrations & CDC

SingleStore; San Francisco (CA); On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Stock options

Flexible paid time off

Monthly three-day weekends

14 weeks of parental leave

Fertility and adoption assistance

Mental health counseling

401(k) retirement plan

Health insurance

Job summary

SingleStore is seeking a Staff Engineer to provide technical leadership for Flow’s end-to-end data path—from source systems and CDC through migration engines, APIs, Helios, to the customer experience.

This is a hands-on, individual contributor role with broad architectural influence, owning major initiatives, solving complex reliability and data-consistency problems, and raising the technical bar across design, testing, observability, and AI-assisted engineering.

Qualifications

• Significant professional experience building and operating production software, typically 10+ years, or equivalent depth of experience and impact.
• 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, such as database logs, logical replication, change tracking, checkpoints, or offsets.
• Demonstrated experience designing reliable, scalable distributed systems where correctness, performance, and availability matter.
• 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, with the ability to explain complex technical decisions to engineers, product partners, and customer-facing teams.
• Demonstrated ability to mentor engineers and influence outcomes without relying on formal authority.
• Bachelor’s or Master’s (preferred) degree in Computer Science or a related field, or equivalent practical experience.

Responsibilities

• Lead the design and delivery of large, complex, release-defining projects from problem definition through production rollout.
• Design reliable, scalable distributed systems and ensure data correctness and performance.
• Mentor engineers, lead design and code reviews, and translate customer requirements into robust technical solutions.
• Advance AI-native development practices and agentic capabilities that improve engineering productivity.

Skills

Java

JDBC

Databases

MySQL

PostgreSQL

Concurrency

Observability

Kubernetes

Distributed systems

Leadership

Testing

Communication

Mentoring

Bachelor’s or Master’s in CS

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Go

TypeScript

GraphQL

gRPC

Job description

SingleStore is seeking a Staff Engineer to provide technical leadership for Flow’s end-to-end data path—from source systems and CDC through migration engines, APIs, Helios, to the customer experience.

This is a hands-on, individual contributor role with broad architectural influence, owning major initiatives, solving complex reliability and data-consistency problems, and raising the technical bar across design, testing, observability, and AI-assisted engineering.