MidFull TimeEN
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 DevOps Engineer II who enjoys working with engineers across disciplines and teams to architect efficient, reliable and scalable software systems. This role requires expertise in Kubernetes and cloud computing, as well as strong automation skills in Python, Helm and Terraform.
Key Responsibilities:
Rightsize workloads for efficient resource utilization in Kubernetes and cloud service
Contribute to the development, deployment and operations for new microservices within the platform
Review technical specifications to provide guidance and help development teams drive operational excellence
Work hand-in-hand with software developers to facilitate the development and adoption of "Paved Road" solutions and DevSecOps processes
Support large-scale services across multiple environments
Assist in resolution efforts for problems ranging from infrastructure network layers to application scaling
This role includes participation in an on-call rotation - we believe in shared ownership of our platform and aim to build systems that are resilient, observable, and require minimal intervention.
Knowledge, Skills and Abilities:
4+ years of experience in DevOps, systems engineering, or a related role.
Strong experience with
Kubernetes
Helm
Python
Terraform
Linux
Git and Github
Strong experience working with at least one major cloud platform (AWS, Azure, or GCP).
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
An understanding of design for scalability, performance, efficiency and reliability.
Self-motivated and proactive, able to take ownership and deliver results.
Ability and willingness to learn about new technologies.
Effective communication with technical and non-technical stakeholders
Nice To Have:
CKAD (Certified Kubernetes Application Developer) certification
Experience with:
Rightsizing workloads
Cloud cost dashboards
Harness CI/CD
Artifactory
MongoDB
RabbitMQ
Postgres
Redis
Knowledge of TCP/IP networking, SSL, DNS, Load Balancers
CI/CD pipeline experience
Real-world experience decoupling monolithic software into smaller reusable components
Handle high-pressure situations in a calm and professional manner
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:
All DataRobot hires are required to complete a background check prior to starting employment, which includes identity verification, criminal history check, employment verification and education verification. Additionally, all DataRobot employees must be available to attend in-person company trainings and meetings.
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.
