Senior Databricks AI Platform SRE

Central Business Solutions, Inc

$110K — $140K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in SRE or related fields.
  • Bachelor's or master's degree in computer science, engineering, or related discipline.
  • Proven experience managing infrastructure with Terraform.
  • Strong programming skills in Python and Java.
  • Hands-on expertise with Databricks and cloud services like Azure or AWS.

Responsibilities

  • Design and implement automated Databricks environments for ML/AI workloads.
  • Develop infrastructure-as-code solutions using Terraform for Databricks and cloud resources.
  • Build automation capabilities for onboarding and monitoring using Python, Java, and APIs.
  • Collaborate with data science teams on compute requirements and governance policies.
  • Integrate Databricks with cloud-native services on Azure/AWS.
  • Champion CI/CD and GitOps practices for ML infrastructure management.
  • Monitor platform performance and drive optimizations for cost and resource utilization.

Benefits

  • Work with cutting-edge technologies in a growing field.
  • Collaborative environment with cross-functional teams.
  • Opportunities for mentorship and professional growth.
  • Involvement in the full machine learning lifecycle.
  • Potential for exposure to multi-cloud environments and enterprise-scale challenges.
Full Job Description
Senior Databricks AI Platform SRE

Description: We are looking for a Senior Databricks AI Platform SRE to join our Platform SRE team. This role will be critical in designing, building, and optimizing a scalable, secure, and developer-friendly Databricks platform to enable Machine Learning (ML) and Artificial Intelligence (AI) workloads at enterprise scale
You will partner with ML engineer, data scientists, platform teams, and cloud architects to automate infrastructure, enforce best practices, and streamline the end-to-end ML lifecycle using modern cloud-native technologies.

Total Experience - 5+ Years. Bachelor's or master's degree in computer science, Engineering or a related field.

Responsibilities:
  • Design and implement secure, scalable, and automated Databricks environments to support AI/ML workloads.
  • Develop infrastructure-as-code (IaC) solutions using Terraform for provisioning Databricks, cloud resources, and network configurations.
  • Build automation and self-service capabilities using Python, Java and APIs for platform onboarding, workspace provisioning, orchestration and monitoring.
  • Collaborate with data science and ML teams to define compute requirements, governance policies, and efficient workflows across dev/qa/prod environments.
  • Integrate Databricks offering with cloud-native services on Azure/AWS
  • Champion CI/CD and GitOps for managing ML infrastructure and configurations.
  • Ensure compliance with enterprise security and data governance policies using RBAC, Audit Controls, Encryption, Network Isolation, and policies.
  • Monitor platform performance, reliability, and usage, and drive improvements to optimize cost and resource utilizations
Required Skills:
  • Proven experience with Terraform for building and managing infrastructure.
  • Strong programming skills in Python and Java
  • Hands-on experience with cloud networking, identity and access management, key vaults, monitoring, and logging in Azure
  • Hands on experience with Databricks (Workspace management, Clusters, Jobs, MLFlow, Delta Lake, Unity Catalog, Mosaic AI)
  • Deep understanding of Azure or AWS infrastructure (e.g. IAM, VNets/VPC, Storage, Networks, Compute, Key management, monitoring)
  • Strong experience in distributed system design, development and deployment using agile/devops practices.
  • Experience with CI/CD pipelines (GitHub Actions, or similar)
  • Experience implementing monitoring and observability using Prometheus, Grafana or Databricks-native solutions.
  • Good communication skills, excellent teamwork experience, ability to mentor and develop more junior developers, including participating in constructive code reviews
Preferred Skills:
  • Experience in multi-cloud environments (AWS/GCP) is a bonus
  • Experience in working in highly regulated environments (finance, healthcare, etc.) is desirable
  • Experience with Databricks REST APIs and SDKs
  • Knowledge of MLFlow, Mosaic AC, & MLOps tooling
  • Working with teams using Scrum, Kanban or other agile practices
  • Proficiency with standard Linux command line and debugging tools
  • Azure or AWS Certifications


Central Business Solutions, Inc(A Certified Minority Owned Organization)

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Central Business Solutions, Inc

37600 Central Court Suite 214 Newark CA, 94560

Phone: (833)247-8800 Fax: (510)-740-3677

Web: http://www.cbsinfosys.com

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