devops engineer for cloud data platforms

Addepto is an AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for enterprises and startups. It focuses on Artificial Intelligence and Big Data, develops its own product, ContextClue, and contributes open-source solutions to the AI community.

• Maintain Azure infrastructure using Terraform, including reusable modules, environment configuration, remote state, and reviewed deployment plans; investigate configuration drift and keep existing resources under version control
• 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 by 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, and escalate complex issues with clear findings
• Support production releases and recovery testing, follow established change procedures, validate services after deployment, document results, and keep rollback instructions current for routine changes
• Write operational scripts and runbooks, automate recurring tasks, and identify opportunities to reduce unnecessary cloud resource usage through appropriate sizing, scheduling, and cleanup

• Around 3 years of experience in DevOps, cloud infrastructure, or a similar role, including practical exposure to production environments
• Hands-on Azure knowledge covering compute, storage, networking, identity, and security fundamentals, including least-privilege access and secret management
• Practical Terraform experience with modules, variables, remote state, and safe plan/apply workflows for existing infrastructure
• Experience with Azure DevOps or GitHub Actions, confidence using Git and pull requests, and willingness to work with both CI/CD platforms
• Some experience administering cloud data platforms and understanding compute management, permissions, and data access
• Familiarity with serverless operations and Azure Event Hubs concepts such as partitions, consumer groups, and retention
• Ability to automate tasks in Python, PowerShell, or Bash and troubleshoot services using Azure Monitor, Application Insights, and Log Analytics
• Good communication skills in English, a careful approach to production changes, and the judgement to seek support when needed
• Будет плюсом: Experience with Azure Data Factory, Azure SQL, Databricks Unity Catalog or Asset Bundles, Docker, KQL, cloud cost optimisation, or AI assistants for scripting and troubleshooting

• Flexible work arrangements allow working remotely or from modern offices and coworking spaces
• Career development paths, knowledge-sharing initiatives, language classes, sponsored training and conferences, and access to training materials and certification programs through partnerships with Databricks and Anthropic
• Team-building events and an integration budget
• Medical and sports packages, eye care, well-being support services, psychotherapy, and coaching
• Full work equipment, including a laptop and other necessary devices
• Dedicated onboarding buddy and opportunities to speak at conferences, write for the company blog, or participate in meetups