Summary
✨ AI‑Generated
Join a technology team as a Business Intelligence DevOps Engineer responsible for provisioning and maintaining cloud infrastructure and data platforms. You will manage analytics workspaces, automate infrastructure with Infrastructure as Code, build reliable CI/CD pipelines, monitor performance and costs, strengthen security controls, and support deployments, migrations, incidents, and disaster recovery. The role suits an engineer with several years of hands-on DevOps, cloud infrastructure, or data-platform operations experience.
Highlights
Opportunity to own cloud infrastructure and data-platform operations, build automation and CI/CD systems, improve reliability and security, and collaborate closely with engineering and data teams. The role offers broad exposure to cloud architecture, deployments, monitoring, and disaster recovery.
Description
Key Responsibilities
Provision, configure, and maintain Microsoft Azure infrastructure.Deploy and administer Azure Databricks workspaces, clusters, access controls, and job scheduling.Design and maintain CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or similar tools.Implement infrastructure automation using Terraform, ARM templates, or equivalent technologies.Monitor platform health, performance, costs, integrations, and data pipeline reliability.Support application deployments, cloud migrations, incident response, and disaster recovery.Implement security controls, identity and access management, encryption, network security, and secrets management.Maintain infrastructure documentation, architecture diagrams, procedures, and operational runbooks.Partner with engineering, data, software development, and cloud teams to resolve infrastructure issues.]
Required Qualifications
3 to 5 years of experience in DevOps, cloud infrastructure, or data platform operations.Hands-on experience with Microsoft Azure, including compute, storage, networking, identity, and security.Knowledge of Azure networking, including VNets, VPN connectivity, private endpoints, DNS, routing, and firewalls.Experience with CI/CD tools and Infrastructure as Code.Proficiency with Linux or Unix administration.Scripting experience with Python, Bash, PowerShell, or a similar language.Experience with monitoring and alerting tools such as Azure Monitor.Understanding of containerization, access controls, and secure infrastructure practices.Strong troubleshooting, communication, and cross-functional collaboration skills.
Preferred Qualifications
Experience with Azure Databricks, Apache Spark, Azure Data Lake Storage, or Synapse.Experience with Kubernetes or another container orchestration platform.Familiarity with Airflow, Databricks Workflows, or similar orchestration tools.Experience supporting cloud migrations or infrastructure modernization.Knowledge of Zero Trust, ZTNA, SSE, or SWG solutions.Microsoft Azure certification, such as AZ-900 or AZ-104.
