Platform Engineer, Katana Graph

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Java

Kotlin

Rust

Mid and Senior level

Austin

Remote from US

High-performance graph processing and analytics

Job no longer available

High-performance graph processing and analytics

21-100 employees

B2BBig dataAnalyticsMachine LearningFinancial ServicesSaaSCyber SecurityScience

Job no longer available

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Java

Kotlin

Rust

Mid and Senior level

Austin

Remote from US

21-100 employees

B2BBig dataAnalyticsMachine LearningFinancial ServicesSaaSCyber SecurityScience

Company mission

To bring new efficiency and utility to graph analytics, mining, and databases.

Job

Company

Role

Who you are

3+ years of platform-related software development experience
Experience with Go, Python, Java/Kotlin/Rust, Docker, etcd, gRPC, Vault
Proficient with HashiCorp Nomad or Kubernetes in AWS/GCP
Knowledge of configuration management tools, monitoring tools, cloud platforms, and software delivery tools
Experience with micro-services networking, load balancing, and service discovery concepts and technologies
Advanced ability to craft clear and concise documentation

What the job involves

Designing, testing, and building new capabilities for our infrastructure that forms the backbone of our company
Working with our internal business partners to gather requirements
Developing enterprise platform services utilizing a service oriented architecture
Developing unit tests, functional tests, and integration test frameworks for distributed systems
Performing peer reviews, code walkthroughs, and weekly demos
Implement monitoring and security best practices
CI/CD pipeline management for infrastructure components
Must be a self-starter and can work independently on technical projects and work collaboratively with project team members through an agile development process that promotes constant team communication
Must have excellent communication skills to assist in conducting user interview sessions, requirements gathering, and design reviews

Our take

With datasets becoming larger across almost every business sector, the analysis and management of large-scale and unstructured data are becoming a laborious process. Various existing tech startups provide automatic analysis and data categorization software, but the enormous datasets found in the data landscape of today are yet to have a dedicated solution.

Katana Graph provides a digital analytics engine that facilitates the end-to-end storage, ingestion, and analysis of very large sets of unstructured data. As a result, the company claims its software can help produce graphs and actionable insights in under half an hour, a process that would normally take days when applied to trillions of data points.

Despite many startups aiming to tackle the automatic analysis of raw datasets, Katana Graph holds a unique concept by applying AI, GPUs, and FPGAs to accelerate the generation of large-scale graphs. The startup also aims to make the migration to their analysis tools frictionless, by facilitating connectivity with Python code and the open query graph language OpenCyper.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

84% employee growth in 12 months

Glassdoor (4.3)

Company

Funding (1 round)

Feb 2021

$28.5m

SERIES A

Total funding: $28.5m

Company benefits

Work from home opportunities

Company HQ

West Campus, Austin, TX

Leadership

Chris Rossbach Pingali

(CTO)

Chris worked at several Silicon Valley Startups before working as an Assistant Professor at the University of Texas, Austin. They co-founded Katana Graph in 2020 with Keshav, serving since as CTO.

Keshav Pingali

(CEO)

Keshav served as Chair of Computing at the University of Texas, while working in the Computer Engineering, Computer Science, and Computational Engineering departments. They co-founded Katana Graphs with Chris, serving since 2020 as CEO.

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