The Sonatype journey started 15 years ago, just as the concept of “open source” software development was gaining steam. From our humble beginning as core contributors to Apache Maven, to supporting the world’s largest repository of open source components (Central), to distributing the world's most popular repository manager (Sonatype Nexus Repository), we’ve played a meaningful role in helping the world embrace the power of open innovation. Over time, we witnessed the staggering volume and variety of open source libraries that began flowing into every development environment in the world. We understood that when open source components are properly managed, they provide a tremendous energy for accelerating innovation. Conversely, when unmanaged, open source "gone wild" can lead directly to security vulnerabilities, licensing risks, enormous rework, and waste. Our vision today is simple. We are laser focused on helping organizations continuously harness all of the good that open source has to offer, without any of the risk. In order to do this, we have invested in knowing more about the quality of open source than anyone else in the world. This investment takes the form of machine learning, artificial intelligence, and human expertise, which in aggregate produces highly curated intelligence that is infused into every Sonatype product. Organizations equipped with Sonatype products make better decisions, innovate faster at scale, and rest comfortably knowing that their applications always consist of the highest quality open source components.
Remote · Canada
Transform complex product datasets into actionable insights and build scalable analytics infrastructure to drive data-informed product decisions. The role involves owning the end-to-end analytics lifecycle and mentoring associate-level analysts.
Remote · Canada
Design and maintain backend services for product provisioning, licensing, and purchasing capabilities. Collaborate with cross-functional teams to drive architectural decisions and mentor other engineers through technical guidance.
Remote · Canada
You will design, develop, and maintain backend services that power product provisioning, licensing, and purchasing capabilities. Additionally, you will collaborate with cross-functional teams to drive architectural decisions and mentor other engineers to ensure high-quality code delivery.
Remote · Canada
Lead the technical direction of the Data Identity team by owning the identity data model and architecting streaming and batch pipelines. Design critical data contracts for downstream consumption and manage the ingestion of third-party SBOM feeds.
Remote · Canada
Design and maintain scalable data pipelines and lakehouse architectures to power analytics and machine learning. Partner with stakeholders to drive long-term architectural vision and mentor the team on engineering best practices.
Remote · Canada
You will lead the Data Identity team by owning the identity data model and architecting robust streaming and batch pipelines. Additionally, you will design data contracts for downstream teams and integrate third-party SBOM feeds while applying AI techniques to improve data quality.
Remote · Canada
You will design, build, and maintain scalable data pipelines and ETL/ELT processes while architecting data models for analytics and operational use. Additionally, you will collaborate with cross-functional teams to evolve the data platform and implement observability and data quality monitoring.
Remote · Canada
The Senior Data Analyst will transform complex product datasets into actionable insights and build scalable analytics infrastructure. They will also partner with cross-functional stakeholders and mentor associate-level analysts to drive data-informed product decisions.
Remote · Canada
Lead the development and deployment of ML and GenAI solutions for security use cases like anomaly and fraud detection. Act as an internal consultant to bridge research and production, translating AI insights into scalable tools and APIs.
Remote · Canada
You will lead applied AI projects from concept to impact, acting as an internal consultant to help teams deploy practical machine learning and generative AI solutions. You will also design robust experiments, build evaluation pipelines, and bridge the gap between research and production to ensure scalable, secure AI systems.
