What you will do
- You will report to the Manager, Engineering.
- Build Graph database platform using large-scale datasets to solve multiple use cases.
- Lead design of graph database models to support a variety of use cases including property graphs.
- Develop graph database ingestion pipeline while being the owner of the integrity of graph models and schema platform-wide.
- Build both batch and real-time update processes to keep the knowledge graphs in sync.
- You will build Graph database query services in the distributed system architecture.
- You will collaborate across product engineering teams to use existing data assets in the property graph and to lead the creation of additional data assets.
- You will resolve technical roadblocks and mitigate potential risks.
- You will deliver system automation by setting up continuous integration/continuous delivery pipelines
What you will bring with you
- Experience with property graphs/graph databases (Neo4j preferred).
- Expertise with tuning and scaling Graph databases (Neo4j preferred).
- Expertise with graph data models (LPG, RDF) and graph languages (Cypher, Gremlin, SparQL) with hands-on graph data modeling techniques for common use cases.
- Experience with graph data modeling, graph schema development, graph data design.
- 4+ years experience developing graph algorithms, optimizing complex queries, designing indexes and constraints.
- Expertise developing APIs using property graph data
- Proficiency in designing and building scalable Graphs in production
- Competence with building data pipelines using distributed data processing frameworks.
- Messaging/Streaming Technologies (NATS, Kafka, AWS SQS or Kinesis), Relational and NoSQL databases (Elasticsearch, Object Storage, Graph database) and APIs.
- Experience developing scalable distributed systems using Go or Java.
- Competence with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools.
What we look for
- Experienced database engineer with expertise in Graph database and Big data implementation.
- Someone with abilities to translate several use cases to data modeling.
- Hands-on experience with database and integration (read/write) in high-volume, velocity, and variety (3Vs) environment
- Work with engineering teams for data sourcing and standards.
When you join Sysdig, you can expect:
- Extra days off to prioritize your well-being
- Mental health support for you and your family through the Modern Health app
- Great compensation package
Top Skills
What We Do
Sysdig delivers cloud security the right way with open innovation, agentic AI, and the uncompromising truth of runtime. In a world of black boxes and blind spots, Sysdig helps security and development teams prevent, detect, and respond to threats in the moment.
AI is only as powerful as the signals it receives, and Sysdig Sage™ – the first agentic AI analyst for cloud security – is fueled by the deepest runtime intelligence in the industry. It doesn’t just observe. It reasons and acts with the context, speed, and precision that modern teams need to build and defend innovation in real time. Founded by the creators of Falco and Wireshark, Sysdig is trusted by more than 60% of the Fortune 500 and is built for those who refuse to compromise on security.
Why Work With Us
Sysdig's global expansion is fueled by our dedicated "Sysdiggers," known for collaboration, innovation, & transparency. With a diverse, international presence, we value every voice & are committed to our core values. We prioritize well-being with a top-tier benefits package. Join us to empower our team, thrive, & deliver our best work globally.
Gallery
