Lead Azure Cloud Engineer

Quick Facts

• Role: Lead Azure Cloud Engineer

Description

Lead the architecture, development, automation, and secure operations of scalable Azure cloud platforms. You will build repeatable deployment patterns with Infrastructure as Code, manage AKS and cloud-native services, and implement CI/CD, observability, and DevSecOps. The role also includes deploying and integrating AI-driven solutions using Azure AI and generative AI services.

Responsibilities

• Architect, deploy, and manage Azure infrastructure (subscriptions, resource groups, networking, identity, governance, security, platform services)

• Create repeatable Azure deployment patterns for applications, APIs, microservices, containers, serverless, data integrations, and AI-driven solutions

• Deploy and manage AKS environments (node pools, ingress, workload identity, secrets, autoscaling, networking, monitoring, container registry integration, security controls)

• Develop and enhance Infrastructure as Code with Terraform (reusable modules, multi-environment deployments, automated validation, CI/CD pipeline integration)

• Architect and deploy CI/CD pipelines with GitHub Actions, Azure DevOps, GitLab CI/CD, or comparable tools

• Enable DevOps practices: automated builds/testing, security scanning, artifact management, environment promotion, deployment approvals, rollback strategies, and release automation

• Use GitHub Copilot and AI-assisted tools for scripting, IaC development, pipeline creation, code review, troubleshooting, documentation, and automation

• Deploy cloud-native solutions with Azure services (App Service, Azure Functions, Logic Apps, Event Grid, Service Bus, Storage, Key Vault, API Management, Azure SQL, Cosmos DB, Azure Monitor, Application Insights)

• Assist with AI deployments using Azure AI, Azure OpenAI, Azure AI Search, Azure Machine Learning

• Develop and integrate AI components using RAG and agentic/multi-agent patterns, including tool/function calling, prompt management, grounding, evaluation, and responsible AI controls

• Implement secure integration patterns using managed identities, RBAC, private endpoints, private DNS, NSGs/firewalls, and API gateways

• Set up and sustain observability with Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerts, distributed tracing, and operational runbooks

• Resolve complex production incidents across cloud, networking, deployments, performance, security, and integrations

• Implement DevSecOps: secrets management, dependency scanning, container image scanning, policy validation, secure configuration, and compliance automation

• Tune Azure environments for performance, reliability, scalability, and cost efficiency

• Contribute to technical standards, reusable templates, documentation, and platform engineering practices

• Provide technical guidance, mentoring, and code reviews to team members

• Collaborate with architects and stakeholders to deliver practical, secure, and maintainable Azure implementations

Requirements

• Extensive hands-on experience architecting, deploying, and managing Azure cloud solutions in enterprise settings

• Sound knowledge of Azure networking, identity, governance, security, monitoring, and platform services

• Hands-on experience with Azure Landing Zone, hub-and-spoke networking, private endpoints, private DNS, firewalls, NSGs, and route tables

• Extensive hands-on experience with Azure Kubernetes Service, containers, container registries, ingress, workload identity, autoscaling, monitoring, and container security

• Substantial experience with Terraform (modules, state management, validation, multi-environment delivery)

• Substantial experience with CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI/CD, or similar)

• Solid understanding of DevOps/DevSecOps practices including automated testing, security scanning, artifact management, release automation, and deployment governance

• Experience with GitHub collaboration (pull requests, code reviews, branching strategies)

• Hands-on experience using GitHub Copilot or comparable AI-assisted development tools

• Experience with Azure PaaS and integration services (App Service, Functions, Logic Apps, API Management, Event Grid, Service Bus, Storage, Key Vault, Azure SQL, Cosmos DB)

• Experience deploying observability with Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards/alerts, and runbooks

• Knowledge of Azure AI and generative AI services, especially Azure OpenAI and Azure AI Search

• Working knowledge of AI patterns such as RAG, agentic workflows, multi-agent systems, tool/function calling, grounding, prompt management, evaluation, and responsible AI

• Ability to resolve complex technical issues across cloud infrastructure, networking, containers, CI/CD, security, and application integration

• Strong scripting and automation skills with PowerShell, Bash, Python, or similar languages

• Ability to operate independently and own technical delivery for production-grade cloud environments

• Excellent communication skills and ability to collaborate with architects, security teams, product teams, and stakeholders

Benefits

• Hybrid work by design with opportunity to work remotely within Poland

• Work abroad opportunity up to 60 days annually; relocation opportunities supported by business needs

• Career development programs, mentoring, soft skills and well-being programs

• Certification support (including Azure-related certifications and others)

• English classes

• Stable pay, Employee Stock Purchase Plan with a 15% discount, and a benefits package (health insurance, multisport, shopping vouchers)

• Referral bonuses up to $2,000

• Office amenities and corporate, social, and well-being events

• Note: benefits are available to employees only; contractor options may be agreed individually under B2B terms.