6 hours ago
Remote, WorldwideMid Level
Responsibilities
- Maintain Azure infrastructure using Terraform modules, environment configuration, remote state, and reviewed deployment plans.
- Investigate configuration drift and keep infrastructure resources under version control.
- Develop and troubleshoot CI/CD pipelines in Azure DevOps and GitHub Actions, including checks, artifacts, approvals, build agents, and service connections.
- Administer Azure Databricks settings, compute resources, permissions, storage access, and deployment configuration.
- Deploy and maintain Azure Functions and configure, monitor, and support Azure Event Hubs.
- Troubleshoot DNS, private endpoints, Entra ID, RBAC, Key Vault, networking, and access issues.
- Maintain monitoring and alerts, investigate incidents with logs and metrics, and escalate complex issues.
- Support production releases and recovery testing, validate services after deployment, and maintain rollback instructions.
- Write operational scripts and runbooks, automate recurring tasks, and reduce unnecessary cloud resource usage through sizing, scheduling, and cleanup.
Requirements
- Around 3 years of experience in DevOps, cloud infrastructure, or a similar role, including practical production-environment experience.
- Hands-on Azure knowledge across compute, storage, networking, identity, security fundamentals, 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, 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 Azure Event Hubs concepts including partitions, consumer groups, and retention.
- Ability to automate tasks with Python, PowerShell, or Bash and troubleshoot using Azure Monitor, Application Insights, and Log Analytics.
- Experience with Azure Data Factory, Azure SQL, Databricks Unity Catalog or Asset Bundles, Docker, KQL, or cloud cost optimization is preferred.
- Good English communication skills, careful production-change practices, and judgment to seek support when needed.
- Experience using AI assistants for scripting and troubleshooting is welcome.
Benefits
- Flexible work arrangements with remote work or access to modern offices and coworking spaces.
- Career development paths, knowledge-sharing initiatives, language classes, sponsored training, conferences, and access to Databricks and Anthropic training and certification materials.
- Team-building events and an integration budget.
- Medical and sports packages, eye care, psychotherapy, coaching, and other well-being support.
- Full work equipment, including a laptop and other necessary devices.
- Opportunities to build a personal brand through conferences, blog writing, and meetups.
- Dedicated buddy and supportive, autonomous onboarding and work culture.
About Addepto
Addepto provides AI consulting and data engineering services for enterprises, covering machine learning, generative AI, MLOps, NLP, and computer vision, and also develops ContextClue, an AI-driven knowledge management platform for industrial engineering. Founded in 2018 and headquartered in Warsaw, it operates as a privately held company within KMS Technology. The firm engages across sectors such as manufacturing, finance, e-commerce, and real estate to move AI initiatives from discovery to production.