DevOps Engineer, DataRobot

Salary not provided

MongoDB

AWS

Kubernetes

GCP

Python

Redis

Linux

Postgres

Terraform

Azure

RabbitMQ

Git

Golang

Mid and Senior level

Remote from Germany

Value-Driven AI for business

Job no longer available

Value-Driven AI for business

501-1000 employees

B2BArtificial IntelligenceEnterpriseBig dataDeep TechMachine LearningSaaS

Job no longer available

Salary not provided

MongoDB

AWS

Kubernetes

GCP

Python

Redis

Linux

Postgres

Terraform

Azure

RabbitMQ

Git

Golang

Mid and Senior level

Remote from Germany

501-1000 employees

B2BArtificial IntelligenceEnterpriseBig dataDeep TechMachine LearningSaaS

Company mission

To change the way businesses all over the world make their most important decisions.

Job

Company

Role

Who you are

This role requires expertise in Kubernetes and cloud computing, as well as strong automation skills in Python, Golang, Helm and Terraform
4+ years of experience in DevOps, systems engineering, or a related role
Strong experience with: Kubernetes, Helm, Python, Golang, Terraform, Linux, Git and Github

Desirable

Experience with: AWS, Azure, GCP, Rightsizing workloads, Cloud cost dashboards, Harness CI/CD, Artifactory, MongoDB, RabbitMQ, Postgres, Redis
Knowledge of TCP/IP networking, SSL, DNS, Load Balancers
Handle high-pressure situations in a calm and professional manner

What the job involves

We are searching for a DevOps Engineer II who enjoys working with engineers across disciplines and teams to architect efficient, reliable and scalable software systems
Rightsize workloads for efficient resource utilization in Kubernetes and cloud service
Contribute to the development, deployment and operations for new microservices within the platform
Review technical specifications to provide guidance and help development teams drive operational excellence
Work hand-in-hand with software developers to facilitate the development and adoption of "Paved Road" solutions and DevSecOps processes
Support large-scale services across multiple environments
Assist in resolution efforts for problems ranging from infrastructure network layers to application scaling
Participate in on-call rotation

Our take

DataRobot is an enterprise AI platform that helps business analysts develop predictive analytics without requiring any knowledge of programming or machine learning. The platform uses machine learning to build and distribute accurate predictive models quickly by automating users' end-to-end journeys.

Unlike its competitors, such as Domino Data Lab, Captricity, and Datameer, DataRobot's primary selling point is its extensibility. Depending on the job function or comfort level users opt for, they have the option to take complete control of their workflow. Business analysts are free to use the platform as a wizard, but more experienced data scientists have the opportunity to alter many parameters in order to develop precise models.

DataRobot's customers have developed over 500 million models on the DataRobot Cloud on AWS after it earned Amazon Web Services (AWS) ML Competency status. By selling its AI toolkits to more than a third of the Fortune 50, including Kroger, Nationwide, and Lenovo, the company has continued to go from strength to strength and has been recognised as a leader in the space.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

-35% employee growth in 12 months

Glassdoor (3.5)

Company

Funding (last 2 of 10 rounds)

Jun 2021

$300m

SERIES G

Dec 2020

$50m

SERIES F

Total funding: $1.1bn

Company benefits

Medical, Dental & Vision Insurance
Flexible Time Off Program
Paid Holidays
Paid Parental Leave
Global Employee Assistance Program (EAP)
Work from Home Opportunities
A World-class Team
Company Outings
Open Door Policy

Company HQ

Financial District, Boston, MA

Leadership

Debanjan Saha

(CEO)

Previously the VP of Data Analytics at Google and VP of managed database services at Amazon.

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