Open roles that use Terraform for infrastructure as code.
Job Description: About the Role Kaleris is a global leader in supply chain execution, focused on accelerating the transformation of digital supply chain for industrial and finished goods shippers and carriers by combini…
Designs and implements secure big data solutions on Databricks for enterprise customers, focusing on cloud infrastructure, security, and Spark-based workloads.
Specialist Solutions Architect at Databricks in Paris designs and implements secure, scalable cloud infrastructure and big data solutions for customers, focusing on the Databricks Lakehouse Platform and cloud security best practices.
Builds and maintains scalable, automated cloud infrastructure for Databricks' IT services using Python, Terraform, and Kubernetes, ensuring high availability and observability.
Designs and secures cloud infrastructure for highly regulated public-sector environments, automating IAM, audit logging, and compliance controls across AWS, Azure, and GCP.
Senior engineer builds and automates AWS and Kubernetes infrastructure, CI/CD pipelines, and observability tooling to support Databricks’ internal IT systems.
Designs, builds, and maintains backend systems and automation tools for Databricks Labs, integrating AI and data technologies to support scalable, reliable infrastructure and field engineering teams.
Designs and secures cloud infrastructure for highly regulated public-sector environments, enforcing IAM policies and compliance across AWS, Azure, and GCP while ensuring 100% reliability.
Designs and secures cloud infrastructure for highly regulated public-sector environments, automating IAM, access policies, and audit logging across AWS, Azure, and GCP while ensuring FedRAMP/GovCloud compliance.
Design and lead Databricks' next-generation network infrastructure, building scalable, multi-cloud connectivity platforms that power millions of VMs and enterprise security features.
A customer-facing role guiding enterprises on secure, scalable Databricks deployments on Google Cloud Platform, requiring deep GCP expertise and hands-on architecture skills.
Senior engineer defines architecture and tools for Databricks’ partner and app ecosystem, enabling developers to build integrations on the Data Intelligence Platform using Spark, REST APIs, and cloud infrastructure.
Builds and maintains Databricks' modern SaaS data and AI platform, focusing on full-stack development for SQL analytics, workflows, and developer tools using JavaScript, React, Node.js, Python, and cloud services.
Design and lead Databricks' next-generation multi-cloud networking infrastructure, scaling connectivity and observability for millions of VMs while shaping core platform architecture.
Builds and maintains Databricks' modern SaaS data and AI platform, focusing on full-stack development for features like SQL analytics, workflows, and developer tools using JavaScript, React, Node.js, Python, and cloud services.
Designs, builds, and operates large-scale backend services for a SaaS data and AI platform, using Scala/Java, cloud APIs, and distributed systems like Apache Spark and Kafka.
Designs, builds, and maintains large-scale distributed backend systems for a SaaS data and AI platform, using Scala/Java, cloud APIs, and big data tools like Apache Spark and Kafka.
Senior Technical Solutions Engineer at Databricks in McLean, VA, responsible for ensuring the reliability and security of multi-cloud data enclaves and AI software in air-gapped, high-security environments for government and defense clients.
Staff Technical Solution Engineer at Databricks in McLean, VA, responsible for ensuring the reliability and security of multi-cloud data enclaves and AI software in highly secure, air-gapped environments for government and defense use cases.
Senior Software Engineer builds and scales Databricks' multi-cloud infrastructure, including Kubernetes clusters, API gateways, and CI/CD systems, using Java, Scala, Go, C++, or Python.