Teams at Galaxy

Design and maintain automated tests across APIs, backend services, web and mobile interfaces, and blockchain components. Define quality strategies, assess risks, analyze test results and incidents, and build CI/CD-integrated testing pipelines. Collaborate with engineering, DevOps, and product teams to improve testability, reliability, performance, security, and observability. Mentor engineers and, at Staff level, set cross-team technical direction for quality engineering, testing standards, frameworks, and tooling.

Build and support large-scale, real-time kdb+ analytics platforms processing billions of daily messages. Develop kdb Insights or KDB-X modules, packages, pipelines, performant q queries, and functions for trading desks. Create SRE tools to detect performance bottlenecks across q, Python, and Java processes running continuously in AWS. Support ingestion stability, Kubernetes deployments, PyKX data processing, and cloud-native analytics infrastructure.

Build and operate production data platforms, tooling, and infrastructure supporting autonomous pipeline delivery. Own monitoring, alerting, DataOps, Kafka, Kubernetes, Terraform, AWS, Databricks/Spark, dbt, and Airflow environments. Improve platform reliability, troubleshoot production issues, and partner with product, analytics, and infrastructure teams. Champion AI adoption and automation while enabling high-throughput, low-latency data processing and strong developer experience.