EPAM Systems

Senior Azure Cloud Engineer

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SeniorZdalnieFull-time

#380856·Dodano 4 miesiące temu·2

Źródło: EPAM Systems

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Tech Stack / Keywords

Microsoft Azure

Podsumowanie oferty

The Senior Azure Cloud Engineer will design, build, automate, and operate secure, scalable, and cost-efficient cloud solutions on Microsoft Azure. The role involves hands-on work with Azure infrastructure, containers, DevOps pipelines, Infrastructure as Code, observability, security controls, and AI-enabled cloud solutions. The engineer will collaborate with various teams to deliver robust Azure solutions supporting modern application delivery and AI-enabled enterprise capabilities. Key responsibilities include implementing Azure cloud infrastructure, CI/CD pipelines, and AI solution components.

Wymagania

Strong hands-on experience designing, implementing, and operating Azure cloud solutions in enterprise environments
Solid understanding of Azure networking, identity, governance, security, monitoring, and platform services
Practical experience with Azure Landing Zone concepts, hub-and-spoke networking, private endpoints, private DNS, firewalls, NSGs, route tables, and workload integration patterns
Strong hands-on experience with Azure Kubernetes Service, containers, container registries, ingress controllers, workload identity, autoscaling, monitoring, and container security
Strong experience with Terraform or other Infrastructure as Code tools, including module development, state management, validation, and multi-environment delivery
Strong experience with CI/CD pipelines, preferably using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar platforms
Good understanding of DevOps and DevSecOps practices, including automated testing, security scanning, artifact management, release automation, and deployment governance
Experience working with GitHub, pull requests, code reviews, branching strategies, and collaborative engineering workflows
Practical experience using GitHub Copilot or similar AI-assisted development tools for infrastructure, automation, scripting, pipeline development, or documentation
Experience with Azure PaaS and integration services such as App Service, Azure Functions, Logic Apps, API Management, Event Grid, Service Bus, Storage, Key Vault, Azure SQL, Cosmos DB, and related services
Experience implementing observability using Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerting, and operational runbooks
Understanding of Azure AI and Generative AI services, especially Azure OpenAI, Azure AI Search, and AI-enabled automation patterns
Practical knowledge of AI architecture patterns such as RAG, agentic workflows, multi-agent systems, tool/function calling, grounding, prompt management, evaluation, and responsible AI
Ability to troubleshoot complex technical issues across cloud infrastructure, networking, containers, CI/CD, security, and application integration
Strong scripting and automation skills using PowerShell, Bash, Python, or similar languages
Ability to work independently, take ownership of technical delivery, and support production-grade cloud environments
Strong communication skills and ability to work with architects, engineers, security teams, product teams, and business stakeholders

Nice to have:

Microsoft Azure certifications such as Azure Administrator Associate, Azure Developer Associate, Azure DevOps Engineer Expert, or Azure Solutions Architect Expert
Kubernetes certifications such as CKA, CKAD, or CKS
Experience with production-grade AKS platforms, service mesh, GitOps, Helm, Kustomize, Flux, Argo CD, or Kubernetes policy engines
Experience with Azure AI Foundry, Semantic Kernel, LangChain, LangGraph, AutoGen, or similar AI orchestration frameworks
Experience building or supporting RAG platforms, AI agents, multi-agent workflows, or enterprise knowledge search solutions
Experience with platform engineering, internal developer platforms, self-service cloud capabilities, paved roads, and reusable engineering templates
Experience working in regulated industries with strong compliance, security, auditability, and governance requirements
Familiarity with SRE practices, incident response, reliability engineering, performance testing, and cost optimization

Obowiązki

Design, implement, and maintain Azure cloud infrastructure, including subscriptions, resource groups, networking, identity, governance, security, and platform services
Build and support reusable Azure deployment patterns for applications, APIs, front-end workloads, microservices, containers, serverless services, data integrations, and AI-enabled solutions
Implement and operate Azure Kubernetes Service environments, including node pools, ingress, workload identity, secrets management, autoscaling, networking, monitoring, container registry integration, and security controls
Build, maintain, and improve Infrastructure as Code using Terraform, including reusable modules, multi-environment deployments, automated validation, and integration with CI/CD pipelines
Design and implement CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar tools
Support DevOps practices such as automated builds, testing, security scanning, artifact management, environment promotion, deployment approvals, rollback strategies, and release automation
Use GitHub Copilot and AI-assisted engineering tools to improve productivity across scripting, IaC development, CI/CD pipeline creation, code review, troubleshooting, documentation, and automation
Implement cloud-native solutions using Azure services such as App Service, Azure Functions, Logic Apps, Event Grid, Service Bus, Storage, Key Vault, API Management, Azure SQL, Cosmos DB, Azure Monitor, and Application Insights
Support the implementation of AI-enabled solutions using Azure AI, Azure OpenAI, Azure AI Search, Azure Machine Learning, and related Azure AI services
Build and integrate AI solution components based on patterns such as RAG, agentic workflows, multi-agent orchestration, tool/function calling, prompt management, grounding, evaluation, and responsible AI controls
Implement secure integration patterns using managed identities, RBAC, private endpoints, private DNS, network security groups, firewalls, and API gateways
Establish and maintain observability using Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerts, distributed tracing, and operational runbooks
Troubleshoot complex cloud, networking, deployment, performance, security, and production incidents
Apply DevSecOps practices, including secrets management, dependency scanning, container image scanning, policy validation, secure configuration, and compliance automation
Optimize Azure environments for performance, reliability, scalability, and cost efficiency
Contribute to technical standards, reusable templates, documentation, operational procedures, and platform engineering practices
Provide technical guidance, mentoring, code reviews, and engineering leadership to other team members
Work with architects and stakeholders to translate requirements into practical, secure, and maintainable Azure implementations

Benefity

Flexible schedule and opportunity to work remotely within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
Outstanding career roadmap
Leadership development, career advising, soft skills, and well-being programs
Certification (GCP, Azure, AWS)
Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
English classes
Stable income (Employment Contract or B2B)
Participation in the Employee Stock Purchase Plan
Benefits package including health insurance, multisport, shopping vouchers
Strategically located offices with entertainment and relaxation zones, table tennis and football, free snacks, and coffee
Referral bonuses
Corporate, social and well-being events

Elastyczne godziny

Kursy językowe

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Dofinansowanie szkoleń

Karta sportowa

Opieka zdrowotna

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EPAM Systems

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