About the position
In the cloud, every second counts. On the leading edge of security, Sysdig stops attacks in real-time by instantly detecting changes in cloud security risk with runtime insights and open source Falco. Trusted by a large enterprise customer base, we are a well-funded startup, passionate open source enthusiasts at heart, and problem-solvers who are building and delivering powerful solutions to secure cloud-native applications. We have an organizational focus on delivering value to customers. We appreciate diverse opinions and open dialogue to spur ideas. We believe in working together to achieve our goals, and we pride ourselves on a flexible work culture. We're an international company that understands how to cultivate an inclusive environment across remote teams. And we're a great place to work too - we've been named a 'Best Places to Work' by Inc, the San Francisco Business Time, and Built In, with recognitions ranging from 'Best Benefits' to a 'Best Company for Happiness'. We are looking for driven team members who want to join us on our mission to lead cloud security globally. Does this sound like the right place for you?
Responsibilities
- You will report to the Manager, Engineering.
- Build Graph database platform leveraging large-scale datasets to solve various use cases.
- Lead design and development of graph database models to support a variety of use cases including property graphs.
- Design and build 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.
- Build Graph database query services in the 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.
- Resolving technical roadblocks and mitigating potential risks.
- Delivering system automation by setting up continuous integration/continuous delivery pipelines.
Requirements
- Working 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.
- Solid understanding of graph data modeling, graph schema development, graph data design.
- 4 years + / or track record of developing graph algorithms, optimizing complex queries, designing indexes and constraints.
- Expertise developing APIs using property graph data.
- Proficiency in designing and building highly 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.
- Solid understanding of developing highly scalable distributed systems using Go or Java.
- Competence with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools.
Nice-to-haves
- Experienced database engineer with expertise in Graph database and Big data implementation.
- Someone with abilities to translate various use cases to effective data modeling.
- Hands-on experience with database and integration (read/write) in high volume, velocity, and variety (3Vs) environment.
- Able to work with engineering teams for data sourcing and standards.
Benefits
- Extra days off to prioritize your well-being.
- 401(k) Retirement Savings Plan with a 3% company match.
- Maternity and Parental Leave.
- Mental health support for you and your family through the Modern Health app.
- Full health benefits package for you and your family.
