Senior Software Engineer - Graph Database Specialist
SysdigAbout the Role
As a Senior Software Engineer at Sysdig, you will be at the forefront of cloud security, working on cutting-edge technologies in a dynamic, fast-paced environment. You will be responsible for building and maintaining our graph database platform, leveraging large-scale datasets to solve various use cases. This role involves leading the design and development of graph database models to support a variety of use cases including property graphs.
Responsibilities
- Build and maintain the graph database ingestion pipeline.
- Ensure the integrity of graph models and schema platform-wide.
- Develop both batch and real-time update processes to keep the knowledge graphs in sync.
- Build graph database query services in a distributed system architecture.
- Collaborate across product engineering teams to use existing data assets in the property graph and to drive the creation of additional data assets.
Skills and Experience
- Extensive experience with property graphs and graph databases, particularly Neo4j.
- Proficiency in tuning and scaling graph databases.
- Solid understanding of graph data modeling, schema development, and design.
- Experience developing graph algorithms and optimizing complex queries.
- Strong skills in API development and distributed systems.
- Familiarity with CI/CD tools and practices.
Why Sysdig?
Sysdig is a leader in cloud security, providing innovative solutions that secure cloud-native applications. We offer a supportive and flexible work environment that promotes personal and professional growth. Join us and contribute to an organization that values diversity, inclusion, and is committed to securing every second in the cloud.
Application Process
Interested candidates are encouraged to apply through our official application link. We value diverse experiences and backgrounds; even if your experience doesn’t perfectly match the job description, we encourage you to apply and explore other potential roles within our organization.
Benefits Extracted with AI
- Competitive compensation
- Equity opportunities
- Flexible work arrangement
- Mental well-being support
- Career growth opportunities
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