Job Url: https://datarobot.wd1.myworkdayjobs.com/DataRobot_External_Careers/job/Remote-Ukraine/Senior-Backend-Engineer--Deploy-_R-102390

Job Description: Senior Backend Engineer, MLOps (Deploy)
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locations
Remote Ukraine
Boston, Massachusetts, US
Remote Canada - ON
Remote Poland
time type
Full time
posted on
Posted 10 Days Ago
job requisition id
R-102390
Job Description:

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. 

DataRobot accelerates the process of building and deployment of predictive and generative models to get the most out of valuable data. We work hard to create tools that nascent data scientists can use effectively while also exposing the rich detail and control that data science veterans rely on. Our headquarters is in Boston, with offices in Ukraine, Poland, Canada, Singapore, and Tokyo. 

In order to keep up with the demand for new features in DataRobot, we are looking to grow our MLOps team with software engineers from mid to senior levels. The primary responsibilities of this team include supporting infrastructure and services that enable frictionless ML and GenAI model deployments and consumption in any environment and for any purpose, across DataRobot’s SaaS offerings as well as on-premise offerings.

Key Responsibilities:

Develop, test, and support features of DataRobot’s AutoML & GenAI platform

Design and deploy infrastructure for new features and services in collaboration with your team

Own and drive key projects and milestones while fostering a culture of abundant communication

Seek, give, and receive critical feedback in a constructive manner, both formally and informally through code reviews, pair programming, and other ad-hoc collaboration

Perform at a level where a manager can have high confidence in an engineer’s ability to deliver complex solutions on time, maintaining and contributing to an agreed-upon roadmap while managing technical risks and “keeping the lights on”

Collaborate closely with product managers to distill requirements into actionable technical tasks and drive technical feedback on complexity and approaches

Engage in Engineering On-Call to provide support for the services owned by the MLOps team

 

Knowledge, Skills & Abilities:

Due to the varied abilities of Backend Engineers, we are open to a wide range of experience from 3 years up to 10+ years of proven experience writing high-quality code in a collaborative, cloud-native environment preferably using Python

Demonstrated experience with AWS, Azure, and/or Google Cloud platforms

Strong ability working and building large software systems and applications on container orchestration technologies like Kubernetes and/or OpenShift and supporting technologies like Helm in production

Hands-on experience with infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles using tools like Terraform, Pulumi, CloudFormation, and/or others

Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis, with a demonstrated understanding of software architecture & design for scalability, performance, and reliability

Real-world experience decoupling monolithic software into smaller reusable components 

Deep experience with automated testing and test-driven development

An owner and mentor mindset: strong drive to become the subject matter expert in your domain, drive projects from 0 to 100, communicate clearly and effectively with stakeholders, and mentor/coach other engineers to bring them to your level and spread best practices

 

Nice to have: