Job Description:
DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on prem or on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI.
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. Our headquarters is in Boston, with offices in Ukraine, Poland, Singapore, and Tokyo.
In order to keep up with the demand for new features in DataRobot, we are looking to grow our backend engineering team. 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.
Key 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 team
Competencies should be at a level where a manager can have high confidence in engineer’s ability to deliver complex solutions on time on an agreed upon roadmap and managing technical risks.
Should be capable of working with product mgmt on getting requirements and driving technical feedback on complexity/approaches. Less experienced Engineers are asking for advice or help, and Senior Engineer can resolve most of the obstacles.
Knowledge, Skills & Abilities:
5+ 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 have:
8+ years of development experience.
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
The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
The Zebra
Grafana Labs
Grafana Labs
doola
Betsson Group
