Software Engineer, DataStax

Production Engineering, Database Platform Experience

Salary not provided

AWS

Kubernetes

GCP

Python

Java

Linux

Cassandra

Terraform

Splunk

Azure

Prometheus

Grafana

Junior, Mid and Senior level

London

Office located in Fitzrovia, London

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

AWS

Kubernetes

GCP

Python

Java

Linux

Cassandra

Terraform

Splunk

Azure

Prometheus

Grafana

Junior, Mid and Senior level

London

Office located in Fitzrovia, London

501-1000 employees

B2BArtificial IntelligenceEnterpriseBig dataSaaSCloud Computing

Company mission

To allow any enterprise to mobilize real-time data and quickly build smart, high-growth applications at unlimited scale, on any cloud.

Job

Company

Role

Who you are

Practical experience in at least one programming language (e.g. Java, Python)
Strong analytical thinking, especially when triaging (unknown) issues
Ability to express your thoughts in an easy-to-understand written form
Ability to learn and adapt quickly
Familiarity with software engineering practices (version control, refactoring, automated testing, CI/CD, observability)
Familiarity with distributed systems design fundamentals and software architecture
Familiarity with computer science and operating systems fundamentals (e.g. program execution, memory management, networking)
Bonus points for database fundamentals (more bonus points for C*)
Bonus points for experience with Linux containers and container orchestration (e.g. Kubernetes)

What the job involves

As a database production engineer at DataStax, you will build, operate, and maintain distributed data systems to help leading enterprises manage their complex data needs
You work on automation, monitoring, alerting, enhancement and bug fixes to ensure an amazing experience for our developers and enterprises
Ensure reliability, scalability, security and maintainability of the systems you own
Respond to customer escalations and automated alerts, from the initial triaging all the way to resolution
Participate in blameless post-mortem analyses to make sure we learn from our mistakes
Perform manual operational tasks (toil)
Develop automations to reduce toil
Improve monitoring and alerting to reduce the time to detection of incidents
Working with the following technologies:
Kubernetes, Helm, ArgoCD, Terraform
Nosql databases (cassandra)
Java, Python, Go
AWS, GCP, Azure
Prometheus, Grafana and Splunk ecosystem

Salary benchmarks

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. The company has an impressive list of enterprise clients 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 in 2022.

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

Health & Wellness
Retirement
Employee Stock  Option Program
Discretionary Time Off (US Only)
Remote Friendly Distributed Workforce
Learn and Develop Cutting-Edge Technologies
Commuter Benefits
Pet Insurance

Company HQ

Santa Clara, CA

Leadership

Jonathan Ellis

(CTO)

After being a Partner and Senior Engineer at FeatureFifty, they became Systems Architect at Rackspace Hosting. They left this role to co-found DataStax.

Chet Kapoor

(CEO & Chairman, not founder)

Has previously been VP of Google, CEO of Apigee and VP of IBM. Joined Datastax in 2019.

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