A fast-growing technology company is looking for a leader to drive their DevOps, Data Engineering, and Machine Learning Operations. This role requires deep expertise in Databricks and extensive experience in AWS and Azure cloud environments. You will modernize and expand cloud infrastructure, ensuring reliability and performance. Competitive compensation upfront includes a salary range of $130,000 - $140,000, along with additional benefits like annual bonuses and family benefits.
Qualifications
Deep hands-on experience with Databricks for large-scale data and ML workflows.
Experience deploying Large Language Models using Databricks or similar frameworks.
Proven expertise in AWS and Azure cloud environments.
Responsibilities
Lead a multidisciplinary team integrating DevOps, Data Engineering, and Machine Learning Operations.
Drive modernization of cloud and data infrastructure across AWS and Azure.
Hands-on leadership on Databricks, CI/CD automation, and infrastructure-as-code.
Skills
Databricks
AWS
Azure
CI/CD Tools
Infrastructure-as-Code
Python
Bash
PowerShell
Docker
Kubernetes
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Tools
Terraform
CloudFormation
ARM templates
Job description
A fast-growing technology company is looking for a leader to drive their DevOps, Data Engineering, and Machine Learning Operations. This role requires deep expertise in Databricks and extensive experience in AWS and Azure cloud environments. You will modernize and expand cloud infrastructure, ensuring reliability and performance. Competitive compensation upfront includes a salary range of $130,000 - $140,000, along with additional benefits like annual bonuses and family benefits.