DevOps Engineer II

Key Responsibilities

• Rightsize workloads for efficient resource utilization in Kubernetes and cloud services.
• Contribute to the development, deployment, and operations of 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 Dev Sec Ops  processes.
• Support large‑scale services across multiple environments.
• Assist in resolution efforts for problems ranging from infrastructure network layers to application scaling.
• Participate in an on‑call rotation to maintain platform resiliency, observability, and minimal intervention.

• 4+ years of experience in Dev Ops, systems engineering, or a related role.
• Strong experience with Kubernetes, Helm, Python, Terraform, Linux, Git, and Git Hub.
• Experience with at least one major cloud platform (AWS, Azure, or GCP).
• Fundamental understanding of Kubernetes and Helm.
• Experience building and running software systems on Kubernetes clusters in production.
• Hands‑on experience with infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles.
• Understanding of design for scalability, performance, efficiency, and reliability.
• Self‑motivated and proactive, able to take ownership and deliver results.
• Willingness to learn about new technologies.
• Effective communication with technical and non‑technical stakeholders.

• CKAD (Certified Kubernetes Application Developer) certification.
• Experience with rightsizing workloads, cloud cost dashboards, Harness CI/CD, Artifactory, Mongo
  
  DB, Rabbit
  
  MQ, Postgres, and Redis.
• Knowledge of TCP/IP networking, SSL, DNS, and load balancers.
• CI/CD pipeline experience.
• Real‑world experience decoupling monolithic software into smaller reusable components.
• Ability to handle high‑pressure situations calmly and professionally.

Medical, Dental, and Vision insurance;
Flexible Time Off Program;
Paid Holidays;
Paid Parental Leave;
Global Employee Assistance Program (EAP); and more, depending on location and local legal requirements.

Data Robot is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on 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 legally protected characteristics. Data Robot is committed to providing reasonable accommodations for applicants with physical and mental disabilities.