Keep IT Simple
Keep IT Simple
Keep IT Simple (KIS) je ponudnik IT-storitev in rešitev s sedežem v Silicijevi dolini, ki oskrbuje organizacije po vsej Kaliforniji in širše. Podjetje, ustanovljeno leta 1988, strankam pomaga pri reševanju kompleksnih tehnoloških potreb na področju kibernetske varnosti, virtualizacije, rešitev v oblaku in svetovanja o omrežni infrastrukturi. Njegovo delo zajema panoge, kot so logistika, zdravstvo in kibernetska varnost, pri čemer poudarja praktične IT-usmeritve, stroškovno premišljene rešitve ter odzivno podporo strankam.

Senior Databricks Platform Engineer

Build and operate secure Databricks platforms for a global insurance and asset management company. The role covers cloud infrastructure, governance, reliability, and AI workloads.

Opis

  • Design and operate enterprise Databricks platforms across cloud environments.
  • Deploy Databricks workspaces, clusters, and platform components on Azure and/or AWS.
  • Maintain scalable, secure, and highly available Databricks environments.
  • Set platform standards, architecture patterns, and operational practices.
  • Manage Unity Catalog, Delta Lake, and workspace governance.
  • Handle platform lifecycle management, upgrades, and capacity planning.
  • Provision infrastructure with Terraform and automate deployments and configuration management.
  • Design networking, private connectivity, and secure integrations.
  • Implement backup, disaster recovery, and high availability.
  • Improve cloud resource use and manage platform costs.
  • Apply enterprise security controls and compliance requirements.
  • Configure role-based access and least-privilege models.
  • Manage secrets, key vault integrations, and encryption standards.
  • Set up monitoring, audit logs, and governance controls.
  • Support regulatory and security audits.
  • Monitor platform health, availability, and performance.
  • Build observability for infrastructure and data workloads.
  • Troubleshoot platform, networking, and workload problems.
  • Create operational runbooks and support processes.
  • Lead root-cause analysis and remediation.
  • Work with data, AI, and cloud infrastructure teams.
  • Advise on platform architecture and operational excellence.
  • Create engineering standards and reusable automation patterns.
  • Mentor engineers and promote cloud engineering practices.
  • Support Databricks AI and machine learning environments.
  • Enable MLflow experimentation, model tracking, and deployment.
  • Support Mosaic AI, Vector Search, Feature Store, and RAG architectures.
  • Assist teams building generative AI and large language model solutions.
  • Develop infrastructure and governance for AI workloads.
  • Assess new Databricks AI capabilities and recommend adoption strategies.

Zahteve

  • Bachelor’s degree in computer science, information technology, engineering, or a related field.
  • At least five years of cloud, platform, or infrastructure engineering experience.
  • At least three years of hands-on experience deploying and administering Databricks environments.
  • Experience supporting enterprise cloud platforms on Azure and/or AWS.
  • Experience designing secure, scalable, highly available cloud solutions.
  • Skills in Databricks administration, Unity Catalog, Delta Lake, workspace management, cluster configuration and optimization, workflows, and job scheduling.
  • Knowledge of Microsoft Azure and Amazon Web Services (AWS).
  • Terraform experience.
  • Experience with Azure DevOps or GitHub Actions.
  • CI/CD pipeline experience.
  • Scripting skills in PowerShell, Python, or Bash.
  • Knowledge of RBAC, private endpoints, VNET/VPC design, encryption and key management, identity federation, and secrets management.
  • Experience with Databricks monitoring, Azure Monitor, CloudWatch, Log Analytics, performance tuning, and capacity management.
  • Preferred: Databricks Certified Platform Administrator, Databricks Certified Data Engineer Professional, Azure Administrator Associate, Azure Solutions Architect, or AWS Solutions Architect certification.
  • Preferred experience implementing enterprise AI and machine learning platforms.
  • Preferred experience supporting regulated industries such as insurance or financial services.
  • Desired familiarity with Mosaic AI, MLflow, Databricks Model Serving, Vector Search, Feature Store, RAG, large language models, AI governance and responsible AI practices, and AI-enabled data engineering patterns.

Ugodnosti

  • Contractor engagement model (PJ).
  • Hybrid work with three days per week in person at the Pinheiros, São Paulo office.

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