Lead Azure Cloud Engineer

EPAM Systems; Poland; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Hybrid by design

Remote within Poland

Relocation opportunities

Career development programs

Certification opportunities (Azure, G"

Job summary

EPAM Systems in Poland is seeking a seasoned Lead Azure Cloud Engineer to architect, develop, automate, and manage secure, scalable cloud solutions on Microsoft Azure.

You will work with Azure infra, containers, DevOps pipelines, IaC, observability, security controls, and AI-driven cloud solutions, partnering with cross-functional teams.

Join EPAM's global AI transformation engineering culture, with hybrid work, opportunities to work remotely within Poland, and global career development.

Qualifications

• Proven expertise in designing and operating Azure cloud platforms.
• Experience with infrastructure as code and automated deployments.
• Strong understanding of containerized workloads and AKS.
• Hands-on with CI/CD tooling and DevSecOps practices.
• Security controls and observability are essential.
• Experience with AI-driven cloud solutions is a plus.

Responsibilities

• Architect, deploy, and manage Azure cloud infrastructure across subscriptions and networking.
• Develop reusable Azure deployment patterns for apps, APIs, and services.
• Deploy AKS clusters with node pools, ingress, identity, and security controls.
• Create and maintain Terraform modules for multi-environment deployments.
• Build and optimize CI/CD pipelines using GitHub Actions, Azure DevOps, or GitLab CI/CD.
• Enable DevOps practices including automated builds, tests, security scans, and release automation.
• Leverage AI-assisted tooling to boost productivity in scripting, IaC, and pipelines.
• Deploy cloud-native services (App Service, Functions, Cosmos DB, SQL, Key Vault, etc.).
• Assist AI-driven solution deployments using Azure AI services.
• Develop AI components using patterns like RAG and multi-agent workflows.
• Implement secure integration patterns (RBAC, private endpoints, firewalls).
• Set up observability with Azure Monitor, Log Analytics, and Application Insights.
• Resolve complex cloud, network, and security incidents.
• Enforce DevSecOps processes across the stack.
• Contribute to standards, templates, and knowledge sharing.
• Provide technical guidance and mentoring to teammates.

Skills

Azure Cloud

Kubernetes

DevOps

IaC

CI/CD Pipelines

Security

Observability

Tools

Terraform

GitHub Actions

Azure DevOps

GitLab CI/CD

Docker

Helm

Job description

We are looking for a seasoned Lead Azure Cloud Engineer to architect, develop, automate, and manage secure, scalable, and cost-effective cloud solutions on Microsoft Azure.

Within this position, you will engage directly with Azure infrastructure, containers, DevOps pipelines, Infrastructure as Code, observability, security controls, and AI-driven cloud solutions. You will assist in converting architecture standards into functional platforms, repeatable deployment patterns, automation, and production-ready services.

You will partner closely with Cloud Architects, Platform Engineering, DevOps, Security, Networking, Data, AI, and Product teams to provide reliable Azure solutions that enable modern application delivery, containerized workloads, and AI-driven enterprise capabilities.

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
• Architect and deploy CI/CD pipelines with GitHub Actions, Azure DevOps, GitLab CI/CD, or comparable 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 to boost productivity across scripting, IaC development, CI/CD 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 Azure AI services
• Develop and integrate AI solution components based on patterns including 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 sustain 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
• Offer technical guidance, mentoring, code reviews, and engineering leadership to fellow team members
• Collaborate with architects and stakeholders to convert requirements into practical, secure, and maintainable Azure implementations

Nice to have

• Microsoft Azure certifications including 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

We offer

• We gather like-minded people:
• Top tech minds driving innovation in AI, cloud and digital platform modernization
• Supportive team and agile, startup-like culture
• Hybrid by design mode and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunities
• We provide growth opportunities:
• Career development programs
• Thought leadership, mentoring, soft skills and well-being programs
• Certification (Anthropic, Gemini, GCP, Azure, AWS)
• English classes
• We cover it all:
• Stable pay
• Participation in the Employee Stock Purchase Plan with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
• Corporate, social and well-being events
• Please, note:
• Benefits listed above are available to employees only
• We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
• We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.