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.
We are searching for a Customer-Facing DevOps Engineer who enjoys working with cutting-edge technologies and solving complex deployment challenges. This role requires expertise in Kubernetes and cloud computing, strong automation skills, and a customer-centric mindset. The ideal candidate thrives in dynamic environments, excels at troubleshooting, and is passionate about helping customers achieve success with DataRobot.
Key Responsibilities:Deploy the DataRobot platform into customer-managed Kubernetes environments, including VPCs and true on-premises deployments, as long as they adhere to CNCF-compliant Kubernetes standards.
Design and implement infrastructure automation using tools like Terraform to streamline deployments and ensure reliability.
Collaborate directly with customers to address technical challenges, troubleshoot complex environments, and ensure seamless integration of the DataRobot platform.
Handle escalated support cases from internal support teams, serving as a subject matter expert for customer deployments.
Work closely with engineering and product teams to identify and resolve deployment-related issues.
Create and maintain documentation and knowledge base articles to empower customers and internal teams.
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
3+ years of experience in customer-facing DevOps, systems engineering, or a related role.
Deep hands-on experience with Kubernetes, including deploying and managing CNCF-compliant environments.
Strong knowledge of cloud infrastructure providers (AWS, Azure, Google Cloud) and hybrid cloud deployments.
Expertise in infrastructure automation tools like Terraform, Helm, and Ansible.
Proficiency in Linux administration, enterprise networking, and containerization (Docker).
Ability to monitor and troubleshoot Kubernetes-based applications, read system logs, and identify issues.
Strong Python scripting skills for automation and debugging purposes.
Excellent verbal and written communication skills to interact with technical and non-technical audiences.
Certified Kubernetes Administrator (CKA)
Will be required to achieve within first 6 months of employmentExperience supporting AI, machine learning, or data science platforms.
Knowledge of Mongo, Postgres, and Redis database management and optimization.
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.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
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