EPAM Systems

Lead Azure Cloud Engineer

Brak informacji o wynagrodzeniu

SeniorZdalnieFull-time

#447459·Dodano miesiąc temu·1

Źródło: EPAM Systems

Aplikuj teraz

Tech Stack / Keywords

Microsoft Azure Terraform GitHub ActionsAzure DevOpsGitLab CI/CDGitHub CopilotAzure FunctionsAzure MonitorPowerShell Python

Firma i stanowisko

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.

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 engineering 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, and related services
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
Capacity to resolve complex technical issues spanning cloud infrastructure, networking, containers, CI/CD, security, and application integration
Strong scripting and automation abilities using PowerShell, Bash, Python, or similar languages
Capacity to operate independently, own technical delivery, and support production-grade cloud environments
Excellent communication abilities and capacity to collaborate with architects, engineers, security teams, product teams, and business stakeholders

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

Obowiązki

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 for 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

Benefity

Hybrid by design work mode and opportunity to work remotely within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
Career development programs including thought leadership, mentoring, soft skills, and well-being programs
Certification opportunities (Anthropic, Gemini, GCP, Azure, AWS)
English language classes
Stable pay
Participation in the Employee Stock Purchase Plan with a 15% discount
Benefits package including 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

Elastyczne godziny

Kursy językowe

Szkolenia wewnętrzne

Budżet konferencyjny

Dofinansowanie szkoleń

Karta sportowa

Opieka zdrowotna

Ubezpieczenie

Udział w zyskach

Premie

Darmowe przekąski

Napoje w biurze

EPAM Systems

1669 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz