Senior Backend Engineer

DataRobot•Oakville, ON

31d

About The Position

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 predictive 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. In order to keep up with the demand for new features in DataRobot, we are looking to grow our Backend engineering team by bringing on a new Senior Backend Engineer. The primary responsibilities of this team include developing and supporting new data science tools, designing and supporting our APIs, and instrumenting DataRobot to integrate with enterprise IT infrastructure. Our team leverages modern technologies to achieve our goals and innovate on our solutions.

Requirements

Due to the multiple levels of Backend Engineers, this is a wide range from 3 years up to 10+ years of proven experience writing high-quality code in a collaborative environment preferably using Python and/or Go
Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
An understanding of design for scalability, performance, and reliability.
Deep experience with automated testing and test-driven development
Demonstrable knowledge of software architecture for large systems
Real-world experience decoupling monolithic software into smaller reusable components
Self-motivated and proactive, able to take ownership and deliver results.
Ability and willingness to learn about new technologies.
Personal drive to get things finished.
Effective communication behavior.
Fundamental understanding of Kubernetes and Helm.
Experience in building and running software systems on Kubernetes clusters in production
Hands-on experience with infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles

Nice To Haves

Experience with AWS, Azure, and/or Google Cloud platforms
CKAD (Certified Kubernetes Application Developer) certification
Publicly reviewable contributions to interesting development projects.
Experience supporting user-facing code and APIs.
Data Science experience
Identity and Access Management experience
CI/CD pipeline experience

Responsibilities

Develop, test, and support features of DataRobot.
Create and maintain automated unit tests and functional tests.
Design infrastructure for new features with the input of peers.
Manage individual projects and milestones with abundant communication of progress.
Seek, give, and receive critical feedback in a constructive manner, including but not limited to code reviews.
Engage in engineering on-call escalated support of services owned by the team
Competencies should be at a level where a manager can have high confidence in an engineer’s ability to deliver complex solutions on time on an agreed-upon roadmap and manage technical risks.
Should be capable of working with product management to get requirements and drive technical feedback on complexity/approaches.