Position: DevOps Engineer, Data Pipelines Team
Company: datarobot.com
Experience required: 3y
Category: DevOps
English level: upper
Published: 2021-08-01T00:00:00+03:00

**Job Description:**
As a DevOps Engineer, you will build out a Data Pipelines system inside DataRobot utilizing distributed frameworks such as Spark, and Kubernetes. You will build deep cloud-native integrations with all major cloud systems - AWS, Azure and Google Cloud. You will work on availability, security, scalability, and resiliency of solutions focused on data pipelines. You will also be responsible for the design and integration of pipelines for all kinds of automated testing.

The ideal candidate can bring new ideas from concept to implementation, write quality, testable code, and participate in design/development discussions. We value engineers who are familiar with DevOps tools and practices, who do not believe that any problem is too hard, and who are willing and eager to chase problems down no matter where they lead.

**As a DevOps Engineer you will:**
- Build and enhance the frameworks and tools we use to build, test, configure, and ship DataRobot services to our cloud environments and our on-premise customers
- Improve and integrate core systems and services, including logging, monitoring, security, and administration
- Manage individual projects and milestones with abundant communication of progress
- Seek, give, and receive constructive feedback to teammates through code and specification reviews

**Requirements:**
- 3+ years working with containerization technology (Docker, Kubernetes) and cloud infrastructure providers
- 3+ years building and maintaining production environments and services
- 3+ years developing applications, automation, or tools, preferably in Python
- Linux experience: troubleshooting, scripting, familiarity with multiple distributions
- Effective verbal and written communication
- Desire to learn whatever it takes to drive a project to completion

**Desired:**
- Experience delivering software to both SaaS and on-premise environments
- Server provisioning systems, e.g., Terraform
- Experience developing automation for CI/CD
- Application-level metrics familiarity (ELK stack, Instana, Grafana, Prometheus, Tracing)
- Expertise in Linux packaging and build tools