Software Engineer, DataStax

OpenSearch

Salary not provided

Docker

Kubernetes

Python

Java

Elasticsearch

Golang

Senior and Expert level

San Francisco Bay Area

Office located in San Jose, CA

Open, multi-cloud stack for modern data apps

Be an early applicant

Open, multi-cloud stack for modern data apps

501-1000 employees

B2BArtificial IntelligenceEnterpriseBig dataSaaSCloud Computing

Be an early applicant

Salary not provided

Docker

Kubernetes

Python

Java

Elasticsearch

Golang

Senior and Expert level

San Francisco Bay Area

Office located in San Jose, CA

501-1000 employees

B2BArtificial IntelligenceEnterpriseBig dataSaaSCloud Computing

Company mission

To make it possible for developers and companies to build GenAI applications that can match the scale of their ambition.

Job

Company

Role

Who you are

Minimum of 7-9 years of relevant industry experience in Software Engineering
Ability to iterate fast and make a tradeoff between quality and speed of delivery
Substantial experience programming distributed and high throughput applications
A deep knowledge of Java and JVM ecosystem of open source libraries and projects
Deep understanding of algorithms, data structures and software design
Strong coding skills with Java. Familiarity with Python and Golang will be an advantage
Comfortable handing problems related to concurrency and distributed computing
Experience with at least one major public cloud providers

Desirable

Prior experience contributing to open source projects including but not limited to Open Search and ElasticSearch is highly desirable
Experience with Go, Docker, and Kubernetes a plus

What the job involves

We are looking for talented software engineers to take on a critical role of adding OpenSearch capability on our Cloud and On-Premises AI PaaS
Even more exciting is that you will be working with and contributing back to Open Search projects similar to how we do with other open source projects such as Apache Cassandra and Apache Pulsar
Develop new features, enhancements, and bug-fixes on DataStax AI PaaS, powered by Open Search, Apache Cassandra and Langflow
Find innovative ways to do a bi-directional integration between Open Search and Apache Cassandra
Collaborate extensively with internal teams and open source communities to innovate at speed
Model solid engineering practices around architectural design, testability, scalability and maintainability
Foster community growth through your involvement in the Open Search community

Our take

As enterprises modernize their legacy applications and clamber to use cloud services, they require data stores that are both vertically and horizontally scalable across clouds, datacentres and geographies.

DataStax is one company tackling this, offering support services for the NoSQL database, a commercial version of the Apache Cassandra database, and a database-as-a-service platform called Astra. And the company has an impressive list of enterprise clients too, including Bank of America, CapitalOne, Disney, Starbucks, and McDonald’s.

DataStax plans to expand its partner network in more ASEAN markets, while it also looks to move beyond its core product – a sentiment reinforced by the company’s acquisition of cloud messaging service Kesque and machine learning company Kaskada. The latter indicates a growing focus on generative AI features in its enterprise database offerings off the back of its $115 million funding round.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

-15% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 9 rounds)

Jun 2022

$115m

LATE VC

May 2021

$37.6m

LATE VC

Total funding: $451m

Company benefits

Fully Covered Health Insurance
Paid Parental Leave
Generous Paid Time Off
Wellness Program
Remote Friendly Distributed Workforce
Ergonomic Home Office
Mental Wellness Program

Company HQ

Santa Clara, CA

Leadership

Chet Kapoor

(CEO & Chairman, not founder)

Previously a VP at Google and IBM and CEO of Apigee. Joined Datastax in 2019.

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