Senior Software Engineer, TigerGraph

Kubernetes

$160-200k

Kubernetes

Kafka

Linux

Senior and Expert level

San Francisco Bay Area

2-3 days a week in office (Redwood City, CA)

Scalable graph analytics platform

Posted today

Scalable graph analytics platform

101-200 employees

B2BEnterpriseBig dataSaaSData Analysis

Posted today

$160-200k

Kubernetes

Kafka

Linux

Senior and Expert level

San Francisco Bay Area

2-3 days a week in office (Redwood City, CA)

101-200 employees

B2BEnterpriseBig dataSaaSData Analysis

Company mission

To uncover meaningful, actionable, real-time insights from data.

Job

Company

Role

Who you are

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
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

What the job involves

Design and develop Kubernetes Operaror 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

Our take

TigerGraph specialises in graph databases - which are powerful databases that can connect multiple data points at once. Purpose built to manage large amounts of highly connected data, flexible and easily scalable, this technology is becoming increasingly preferred over traditional relational databases.

Its substantial funding has enabled TigerGraph to expand, now with support for Google Cloud Platform workloads, putting TigerGraph in the unique position of being the only distributed graph database to be made available as SaaS on all major cloud platforms. In addition, connectors for Snowflake and Salesforce Tableau further enhance the integration options for TigerGraph. GraphStudio, a graphical user interface for TigerGraph DB brings together all aspects of the graph database analysis in one application created specifically for ease of use.

TigerGraph is currently the fastest graph database in the world, ahead of competitors such as Neo4j, ArangoDB and Redis, a position the business will no doubt be eager to maintain as it is a key differentiator.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

-55% employee growth in 12 months

Glassdoor (3.1)

Company

Funding (last 2 of 6 rounds)

Feb 2021

$105m

SERIES C

Sep 2019

$32m

SERIES B

Total funding: $194.2m

Company benefits

Putting money in your bank with competitive pay and attractive equity
The best health, dental and vision insurance to keep you healthy
Catered lunches and a well-stocked kitchen
Take time off when you want and recharge your batteries
Fun environment with team outings and a recreation lounge, including ping-pong and foosball

Company HQ

Redwood Shores, Redwood City, CA

Leadership

Yu Xu

(CTO)

Dr. Xu received their Ph.D in Computer Science and Engineering from the University of California San Diego. Prior to founding TigerGraph, Dr. Xu worked on Twitter’s data infrastructure for massive data analytics. Before that, they worked as Teradata’s Hadoop architect where they led the company’s big data initiatives.

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