DevOps Engineer

Addepto is a leading AI consulting and data engineering company focused exclusively on Artificial Intelligence and Big Data. It serves large enterprises and startups including Rolls Royce, Continental, Porsche, ABB, and WGU. Addepto develops scalable, ROI-focused AI solutions and is recognized as one of the top 10 AI consulting companies worldwide by Forbes. The company is part of KMS Technology, a US-based global technology group, enabling enterprise-scale delivery from AI experimentation to production impact.

• Around 3 years of experience in DevOps, cloud infrastructure, or similar roles with practical production exposure.
• Hands-on knowledge of Azure compute, storage, networking, identity, and security fundamentals including least-privilege access and secret management.
• Practical experience with Terraform modules, variables, remote state, and safe plan/apply workflows.
• Experience with Azure DevOps or GitHub Actions, proficient with Git and pull requests.
• Experience administering cloud data platforms, preferably Azure Databricks, including compute management, permissions, and data access.
• Familiarity with serverless operations, preferably Azure Functions, and concepts of Azure Event Hubs such as partitions, consumer groups, and retention.
• Ability to automate tasks using Python, PowerShell, or Bash and troubleshoot using Azure Monitor, Application Insights, and Log Analytics.
• Good English communication skills, careful approach to production changes, and sound judgement in seeking support.

Nice to have:

• Experience with Azure Data Factory, Azure SQL, Databricks Unity Catalog, Asset Bundles, Docker, KQL, or cloud cost optimisation.
• Experience using AI assistants for scripting and troubleshooting.

• Maintain Azure infrastructure using Terraform, including reusable modules, environment configuration, remote state, and deployment plans.
• Develop and troubleshoot CI/CD pipelines in Azure DevOps and GitHub Actions, including automated checks, artifacts, approvals, build agents, and service connections.
• Support cloud data platforms such as Azure Databricks, managing workspace settings, compute resources, permissions, storage access, and deployment configuration.
• Deploy and maintain serverless services, particularly Azure Functions, and support Azure Event Hubs configuration, access, capacity, and monitoring.
• Troubleshoot networking and access issues involving DNS, private endpoints, Entra ID, RBAC, and Key Vault.
• Maintain monitoring and alerts; investigate incidents using logs and metrics; escalate complex issues with clear findings.
• Support production releases and recovery testing following change procedures, documenting results and maintaining rollback instructions.
• Write operational scripts and runbooks, automate recurring tasks, and optimize cloud resource usage through sizing, scheduling, and cleanup.