EPAM Systems

Lead Azure Cloud Engineer

Brak informacji o wynagrodzeniu

SeniorZdalnie·PoznańFull-time

#447546·Dodano miesiąc temu·0

Źródło: justjoin.it

Aplikuj teraz

Tech Stack / Keywords

Microsoft AzureAzure Kubernetes ServiceTerraform CI/CDInfrastructure as codeAzure networking Azure Monitor Docker

Podsumowanie oferty

The Lead Azure Cloud Engineer will architect, develop, automate, and manage secure, scalable, and cost-effective cloud solutions on Microsoft Azure. The role involves working with Azure infrastructure, containers, DevOps pipelines, Infrastructure as Code, observability, security controls, and AI-driven cloud solutions. Collaboration with Cloud Architects, Platform Engineering, DevOps, Security, Networking, Data, AI, and Product teams is key to enabling modern application delivery and AI-driven enterprise capabilities.

Wymagania

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 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
Experience with GitHub, pull requests, code reviews, branching strategies, and collaborative workflows
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
Experience deploying observability using Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerting, and operational runbooks
Knowledge of Azure AI and Generative AI services, particularly Azure OpenAI, Azure AI Search, and AI-driven automation patterns
Working knowledge of AI architecture patterns including RAG, agentic workflows, multi-agent systems, tool/function calling, grounding, prompt management, evaluation, and responsible AI
Ability to resolve complex technical issues spanning cloud infrastructure, networking, containers, CI/CD, security, and application integration
Strong scripting and automation skills using PowerShell, Bash, Python, or similar languages
Ability to operate independently, own technical delivery, and support production-grade cloud environments
Excellent communication skills and ability to collaborate 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 including 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 developing 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 in regulated industries with rigorous compliance, security, auditability, and governance requirements
Familiarity with SRE practices, incident response, reliability engineering, performance testing, and cost optimization

Obowiązki

Architect, deploy, and manage Azure cloud infrastructure, including 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 solutions
Deploy and manage Azure Kubernetes Service environments, including 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
Architect and deploy CI/CD pipelines with GitHub Actions, Azure DevOps, GitLab CI/CD, or similar tools
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 for scripting, IaC development, pipeline creation, code review, troubleshooting, documentation, and automation
Deploy cloud-native solutions using Azure services including App Service, Azure Functions, Logic Apps, Event Grid, Service Bus, Storage, Key Vault, API Management, Azure SQL, Cosmos DB, Azure Monitor, and Application Insights
Assist with deploying AI-driven solutions using Azure AI, Azure OpenAI, Azure AI Search, Azure Machine Learning, and related services
Develop and integrate AI solution components based on patterns like RAG, agentic workflows, multi-agent orchestration, tool/function calling, prompt management, grounding, evaluation, and responsible AI controls
Deploy secure integration patterns using managed identities, RBAC, private endpoints, private DNS, network security groups, firewalls, and API gateways
Set up and maintain observability with Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerts, distributed tracing, and operational runbooks
Resolve complex cloud, networking, deployment, performance, security, and production incidents
Implement DevSecOps practices including 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, operational procedures, and platform engineering practices
Provide technical guidance, mentoring, code reviews, and engineering leadership
Collaborate with architects and stakeholders to convert requirements into practical, secure, and maintainable Azure implementations

Benefity

Work with top technology experts in AI, cloud, and digital platform modernization
Supportive, agile, startup-like culture
Hybrid work mode and opportunity to work remotely within Poland
Opportunity to work abroad for up to 60 days annually
Business-driven relocation opportunities
Career development programs
Thought leadership, mentoring, soft skills, and well-being programs
Certification opportunities (Anthropic, Gemini, GCP, Azure, AWS)
English classes
Stable pay
Participation in the Employee Stock Purchase Plan with a 15% discount
Benefits package including health insurance, multisport, and shopping vouchers
Referral bonuses up to $2,000
Offices with entertainment and relaxation zones, table tennis, football, free snacks, coffee and more
Corporate, social, and well-being events

Karta sportowa

Opieka zdrowotna

Ubezpieczenie

Dofinansowanie szkoleń

Kursy językowe

Udziały pracownicze

Premie

Darmowe przekąski

Inne informacje

Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez EPAM Systems (Poland) sp. z o.o. z siedzibą w: Fabryczna 1A, 31-553 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu zgodnie Polityką Prywatności dostępną na stronie: https://www.epam.com/applicant-privacy-notice

EPAM Systems

1770 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz