DevOps Engineer

Addepto

. Maintain Azure infrastructure using Terraform, including reusable modules, environment configuration, remote state, and reviewed deployment plans .

Posted 10/6/2026full-timeRemote • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in maintaining and deploying Azure infrastructure using Terraform, with a strong focus on CI/CD pipeline development and cloud data platform support. Proficient in troubleshooting and automating tasks while ensuring secure and efficient cloud resource management.

Highest-signal resume keywords

Azure Infrastructure ManagementTerraform ExperienceCI/CD Pipeline DevelopmentAzure DevOps or GitHub ActionsCloud Data Platform Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TerraformAzure FunctionsAzure DatabricksCI/CD PipelinesPythonPowerShellBashAzure MonitorApplication InsightsLog Analytics

Soft Skills

Good Communication Skills

Tools & Technologies

Azure DevOpsGitAzure Event HubsDockerKQL

Industry Keywords

Cloud InfrastructureProduction EnvironmentsLeast-Privilege AccessSecret ManagementCompute ManagementPermissionsData AccessChange ProceduresRollback InstructionsCloud Cost Optimisation

Tech Stack

Tools & technologies

AzureCloudDNSDockerPythonSQLTerraformUnityVault

About the role

Key responsibilities & impact

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
Manage automated checks, artifacts, approvals, build agents, and service connections
Support cloud data platforms such as Azure Databricks
Manage workspace settings, compute resources, permissions, storage access, and deployment configuration
Deploy and maintain serverless services, particularly Azure Functions
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 and validate services after deployment
Document results and keep rollback instructions current for routine changes
Write operational scripts and runbooks
Automate recurring tasks
Identify opportunities to reduce unnecessary cloud resource usage through sizing, scheduling, and cleanup
Work with software engineers, data engineers, and operations teams to keep production and non-production environments reliable, secure, and maintainable
Handle standard changes independently with peer review and senior-engineer support for architectural decisions, complex incidents, and high-impact production changes

Requirements

What you’ll need

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
Knowledge of 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
Willingness to work with both CI/CD platforms
Some experience administering cloud data platforms, preferably Azure Databricks
Understanding of compute management, permissions, and data access
Familiarity with serverless operations, preferably Azure Functions
Understanding of Azure Event Hubs concepts such as partitions, consumer groups, and retention
Ability to automate tasks in Python, PowerShell, or Bash
Ability to troubleshoot services using Azure Monitor, Application Insights, and Log Analytics
Good communication skills in English
Careful approach to production changes and judgement to seek support when needed
Nice to have: Azure Data Factory, Azure SQL, Databricks Unity Catalog or Asset Bundles, Docker, KQL, or cloud cost optimisation
Experience using AI assistants for scripting and troubleshooting is welcome
Eligibility to work in the EU

Benefits

Comp & perks

Work in a supportive team of passionate enthusiasts of AI & Big Data
Engage with top-tier global enterprises and cutting-edge startups on international projects
Flexible work arrangements, allowing remote work or work from modern offices and coworking spaces
Career development paths
Knowledge-sharing initiatives
Language classes
Sponsored training and conferences
Access to industry-leading training materials and certification programs through partnerships with Databricks and Anthropic
Team-building events
Integration budget
Work anniversary, birthday, and milestone celebrations
Medical and sports packages
Eye care
Well-being support services, including psychotherapy and coaching
Full work equipment, including a laptop and other necessary devices
Opportunities to build a personal brand through conference speaking, blog writing, and meetup participation
Dedicated onboarding buddy
Friendly, supportive, and autonomous culture