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. Were an international company that understands how to cultivate an inclusive environment across remote 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 leveraging largescale 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 platformwide.
Build both batch and realtime 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
What you will bring with you
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 handson 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.
What we look for
Experienced database engineer with expertise in Graph database and Big data implementation.
Someone with abilities to translate various use cases to effective data modeling.
Handson 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.
When you join Sysdig you can expect:
Extra days off to prioritize your wellbeing
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
The U.S. annual on target earnings (OTE) range for this fulltime position is between 163000 and 204000 USD/year. Actual offers may be higher or lower than this range based on a variety of factors including your work location jobrelated experience and education.
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.
Sysdig values a diverse workplace and encourages women people of color LGBTQIA individuals people with disabilities members of ethnic minorities foreignborn residents and veterans to apply. Sysdig is an equalopportunity 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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