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 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’re looking to grow the team by bringing on a 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.
Key Responsibilities:Design and deliver robust, scalable internal platforms and services that enable fast, secure, and reliable software delivery.
Build automation that ensures microservices are secure, performant, and can be safely deployed to production.
Lead technical strategy and execution for cross-team initiatives with high ambiguity and complexity.
Drive continuous improvements to CI/CD infrastructure, enabling releases to shift from quarterly to weekly to daily cadence.
Mentor other engineers, carry out knowledge sharing sessions, and promote the culture of team growth.
Lead the technical roadmap for internal platform engineering efforts in collaboration with architects, SREs, and PMs.
7+ years of proven experience writing high-quality code in a collaborative environment
Technical Proficiency: Expertise in Python, hands-on experience with Kubernetes architecture, including scheduling, auto-scaling, networking.
Strong systems design skills: ability to make thoughtful trade-offs between scalability, maintainability, and efficiency.
Fundamental understanding of Kubernetes and Helm. Experience in building and running software systems on Kubernetes clusters in production
Demonstrated ability to solve ambiguous, open-ended challenges and own them to completion across multiple teams.
Experience improving reliability, availability, performance for a critical software subsystem.
Excellent communication skills and a track record of cross-functional collaboration.
Fluency in DevOps best practices, including CI/CD, observability, and secure software delivery pipelines.
Strong track record of defining technical direction and influencing decisions without formal authority.
Ability to track and report key delivery metrics to evaluate impact and guide improvements.
Nice to have:
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
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:
- Wow Our Customers
- Set High Standards
- Be Better Than Yesterday
- Be Rigorous
- Assume Positive Intent
- Have the Tough Conversations
- Be Better Together
- Debate, Decide, Commit
- Deliver Results
- Overcommunicate
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.
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