Lead Azure Cloud Engineer
New
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EPAMCloud Engineering
Opportunity to work remotely within PolandFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- En B2
- Required Skills
- KubernetesAzureTerraformGitHub ActionsAzure DevOps
Requirements
- Extensive hands-on experience architecting, deploying, and managing Azure cloud solutions in enterprise settings
- Hands-on experience with Azure Landing Zone concepts, hub-and-spoke networking, private endpoints, private DNS, firewalls, NSGs, route tables, and workload integration patterns
- Extensive hands-on experience with Azure Kubernetes Service, containers, container registries, ingress controllers, workload identity, autoscaling, monitoring, and container security
- Substantial experience with Terraform or other Infrastructure as Code tools, including module development, state management, validation, and multi-environment delivery
- Substantial experience with CI/CD pipelines, ideally using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar platforms
- Solid grasp of DevOps and DevSecOps practices, including automated testing, security scanning, artifact management, release automation, and deployment governance
- Hands-on experience using GitHub Copilot or comparable AI-assisted development tools for infrastructure, automation, scripting, pipeline development, or documentation
- Experience with Azure PaaS and integration services including App Service, Azure Functions, Logic Apps, API Management, Event Grid, Service Bus, Storage, Key Vault, Azure SQL, Cosmos DB, and related services
- Strong scripting and automation abilities using PowerShell, Bash, Python, or similar languages
- Excellent communication abilities and capacity to collaborate with architects, engineers, security teams, product teams, and business stakeholders
Responsibilities
- Architect, deploy, and manage Azure cloud infrastructure, covering subscriptions, resource groups, networking, identity, governance, security, and platform services
- Develop and maintain repeatable Azure deployment patterns for applications, APIs, front-end workloads, microservices, containers, serverless services, data integrations, and AI-driven solutions
- Deploy and manage Azure Kubernetes Service environments, encompassing node pools, ingress, workload identity, secrets management, autoscaling, networking, monitoring, container registry integration, and security controls
- Create, sustain, and enhance Infrastructure as Code with Terraform, including reusable modules, multi-environment deployments, automated validation, and CI/CD pipeline integration
- Enable DevOps practices including automated builds, testing, security scanning, artifact management, environment promotion, deployment approvals, rollback strategies, and release automation
- Leverage GitHub Copilot and AI-assisted engineering tools to boost productivity across scripting, IaC development, CI/CD pipeline creation, code review, troubleshooting, documentation, and automation
- Set up and sustain observability with Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerts, distributed tracing, and operational runbooks
- Offer technical guidance, mentoring, code reviews, and engineering leadership to fellow team members
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