About the position
TigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph's core technology is the only scalable graph database for the enterprise. Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning. Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to accelerate their analytics, AI, and machine learning: Seven out of the top ten global banks use TigerGraph for real-time fraud detection. Over 50 million patients receive care path recommendations to assist them on their wellness journey. 300 million consumers receive personalized offers with recommendation engines powered by TigerGraph. TigerGraph reduces power outages by optimizing the energy infrastructure for 1 billion people. This position is primarily remote, but location-based requirements may apply. If the selected candidate is located near one of our company offices, the candidate will have a hybrid work arrangement (2-3 days in-office).
Responsibilities
- Design and develop Kubernetes Operator to deploy and manage TigerGraph
- Work on observability aspects of TigerGraph cluster and the Kubernetes Operator
- Provide a scalable and fault-tolerant design to scale TigerGraph clusters in Kubernetes
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
- Minimum 5 years of hands-on experience with container technologies (Docker) and Kubernetes (k8s) preferred
- Hands-on experience in developing Kubernetes operators
- At least three years of development experience in related fields, solid programming skills, familiarity with Golang, or any other major programming languages
Nice-to-haves
- Familiar with Kafka or a similar messaging framework
- Familiar with gRPC
- Familiar with Zookeeper / ETCD / Consul or similar tools
- Familiar with Linux and shell
- Excellent problem-finding and problem-solving skills, good communication skills, good stress resistance, and team spirit
- Familiar with multi-threaded programming
- Good knowledge of distributed systems and trade-offs in designing them
- Have deep OS knowledge and performance tuning experience
