EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are hiring a Lead Cloud Engineer to design, build, and drive enterprise-scale Microsoft Azure platforms with deeply integrated AI capabilities, including advanced Generative AI and Agentic AI solutions.
In this role, you will serve as a technical authority responsible for shaping cloud architecture strategy, leading DevOps and platform engineering transformations, and pioneering the adoption of next-generation AI technologies across the organization. You will collaborate closely with executive stakeholders, engineering teams, and business units to deliver secure, scalable, and resilient systems that power mission-critical workloads and unlock new AI-driven business value.
Responsibilities
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Architect end-to-end cloud and AI solutions on Azure, ensuring alignment with enterprise strategy, compliance standards, and long-term scalability goals
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Design highly scalable, secure, and resilient systems capable of supporting mission-critical workloads across multiple business units and geographies
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Lead DevOps transformation initiatives and establish modern platform engineering practices that improve developer productivity and operational efficiency
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Define and enforce best practices for CI/CD pipelines, Infrastructure as Code, security controls, and governance frameworks across the engineering organization
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Develop multi-region, high-availability architectures with robust disaster recovery, failover strategies, and performance optimization
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Spearhead the adoption of AI-driven solutions across business units by identifying high-impact use cases and guiding implementation from concept to production
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Design and deliver enterprise-grade Generative AI platforms, integrating LLMs, agentic workflows, and retrieval-augmented generation capabilities at scale
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Drive AI strategy and adoption by partnering with leadership to define roadmaps, evaluate emerging tools, and align AI investments with business outcomes
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Foster a culture of innovation through proof-of-concept initiatives, technology evaluations, and the introduction of emerging cloud and AI technologies
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Collaborate with stakeholders, architects, and leadership teams to translate complex business requirements into actionable technical designs
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Mentor and guide engineering teams, providing technical leadership, code reviews, and architectural guidance to elevate overall team capability
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Own the lifecycle of large-scale enterprise systems, including design, deployment, monitoring, optimization, and continuous improvement
Requirements
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8+ years of progressive experience in cloud engineering, systems architecture, and large-scale platform delivery
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At least 1 year of relevant leadership experience
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Expert-level proficiency in Microsoft Azure, including compute, storage, identity, networking, and platform services
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Deep expertise in Kubernetes, Azure Kubernetes Service (AKS), and Docker container orchestration for production workloads
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Advanced knowledge of cloud networking, security architecture, and governance frameworks across enterprise environments
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Skills in large-scale Infrastructure as Code design and implementation using Terraform, Bicep, and ARM templates
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Background in DevOps maturity models, CI/CD pipeline design, and platform engineering practices that enable self-service developer experiences
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Competency in OS administration across Windows and Linux environments, along with proficiency in scripting languages for automation
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Expertise in Generative AI fundamentals, Agentic AI concepts (multi-agent systems, orchestration), and Agentic Workflows for enterprise use cases
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Understanding of Retrieval-Augmented Generation (RAG) architectures at scale, including vector databases, embeddings, and prompt engineering
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Hands-on experience with Azure AI Foundry and LLM integrations such as OpenAI and Claude for production-grade applications
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Familiarity with AI orchestration frameworks, including Semantic Kernel (preferred), LangChain/LangGraph, and CrewAI
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Strong architecture and leadership skills with a proven track record of owning and evolving large-scale enterprise systems end-to-end
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Proficient communication skills in English (B2 level or higher)
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
