DevOps Engineer, DataRobot
Value-Driven AI for business
Be an early applicant
Value-Driven AI for business
1001+ employees
Be an early applicant
1001+ employees
Company mission
To change the way businesses all over the world make their most important decisions.
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 recognized as a leader in the space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
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 values
- Be You - We are co-contributors to our culture committed to diversity, inclusion, equity and a sense of belonging throughout our global community. We value each person as their authentic self and welcome honest and respectful dialogue as an avenue to greatness.
- Dream Big - We don’t settle for the status quo. We always pursue the development of the next version of ourselves. We believe investment in the growth and resilience of our people is the foundation of building an iconic company.
- Better Together - We celebrate success and learn from failure as one team. We foster an aligned, collaboration-first workplace by building trust through transparency, integrity and accountability
- Champion Customers - We empower our customers and our communities by shaping the future of trusted, augmented intelligence in order to solve their most difficult problems. We are humble, not complacent. We succeed when they succeed.
- Be Data-Driven - We believe data-driven decision making enables innovation and execution at velocity while ensuring repeatable success. We take on the toughest challenges as we transform the world with our platform and AI.
Company HQ
Financial District, Boston, MA
Articles
Leadership
Debanjan Saha
(CEO)Previously the VP of Data Analytics at Google and VP of managed database services at Amazon.
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