We have an organizational focus on delivering value to customers. We appreciate diverse opinions and open dialogue to spur ideas and we believe in working together to achieve our goals. Were an international company that understands how to cultivate an inclusive environment across all teams.
And were a great place to work too - weve 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
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
We would love for you to join us! Please reach out even if your experience doesnt perfectly match the job description. We can always explore other options after starting the conversation. Your background and passion will set you apart especially if your career path is different.
Some of our Hiring Managers are globally distributed an English version of your CV will be appreciated.
Sysdig values a diverse workplace and encourages women people of color LGBTQIA individuals people with disabilities members of ethnic minorities foreign-born residents and veterans to apply. Sysdig is an equal-opportunity employer. Sysdig does not discriminate on the basis of race color religion sex national origin age disability genetic information sexual orientation gender identity or any other legally protected status.
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