DevOps Engineer II
Role details
Job location
Tech stack
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., * 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.
Requirements
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., * 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
Benefits & conditions
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
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.
