Lead System Engineer - Microsoft Azure with Gen AI

EPAM Systems India Pvt Ltd; India; Remote; INR 4,000,000 - 6,000,000; Full time

Job summary

EPAM Systems India Pvt Ltd is seeking a Lead Cloud Engineer with deep Microsoft Azure expertise and Gen AI capabilities to architect enterprise platforms across multiple regions in India. You will drive DevOps transformation, define scalable cloud patterns, and enable secure, high-availability systems powering critical business operations.

The role requires strong leadership, experience with AI-enabled workloads, and hands-on delivery of multi-region architectures.

Qualifications

• Expert-level knowledge of Microsoft Azure services (compute, storage, identity, networking).
• Hands-on experience with Kubernetes, AKS, and container orchestration in production.
• Strong IaC skills using Terraform, Bicep, and ARM templates.
• Proven track record in building secure, scalable, enterprise-grade cloud platforms.

Responsibilities

• Design and implement enterprise Azure-based cloud and AI solutions.
• Lead DevOps transformation and platform engineering initiatives.
• Define and enforce CI/CD, IaC, security controls, and governance standards.

Skills

Azure

Kubernetes

Terraform

CI/CD

IaC

DevOps

AI/Gen AI

Tools

AKS

Docker

ARM templates

Bicep

Job description

# Lead System Engineer - Microsoft Azure with Gen AIOffice in Pune, Gurgaon, Coimbatore, Chennai, Bangalore, HyderabadMicrosoft Azure& othersLead System Engineer - Microsoft Azure with Gen AICloud Platform Administrator - AWS Admin + NetAppLead System Engineer - Microsoft Azure with Gen AILead Platform EngineerLead/Senior SRE Engineer - DynatraceSenior/Lead Security Engineer - AILead AWS Migration Engineer with Gen AIWe're hiring a **Lead Cloud Engineer** to build, architect, and champion enterprise-grade Microsoft Azure platforms enriched with sophisticated AI capabilities, spanning advanced Generative AI and Agentic AI solutions.In this position, you'll operate as a technical authority tasked with defining cloud architecture direction, guiding DevOps and platform engineering evolution, and pioneering the introduction of next-generation AI capabilities organization-wide. You'll partner closely with executive leadership, engineering groups, and business units to build secure, scalable, resilient systems supporting critical operations and unlocking fresh AI-powered business potential.Read full descriptionResponsibilities* Design comprehensive cloud and AI solutions built on Azure, ensuring they support enterprise strategy, compliance obligations, and sustained scalability* Build highly resilient, secure, and scalable systems capable of powering mission-critical operations spanning multiple business units and geographic regions* Guide DevOps transformation efforts and introduce contemporary platform engineering approaches that boost developer output and operational effectiveness* Establish and enforce standards covering CI/CD pipelines, Infrastructure as Code, security controls, and governance practices across engineering teams* Build multi-region, high-availability system designs featuring solid disaster recovery planning, failover mechanisms, and performance tuning* Lead the charge in adopting AI-based solutions across business functions by spotting valuable use cases and steering implementation from initial concept through production* Build and deliver enterprise-scale Generative AI platforms, incorporating LLMs, agentic workflows, and retrieval-augmented generation at scale* Shape AI strategy and drive adoption by working with leadership to establish roadmaps, assess new tools, and connect AI investments to business results* Encourage a spirit of innovation through proof-of-concept work, technology assessments, and introducing emerging cloud and AI capabilities* Work with stakeholders, architects, and leadership to convert complicated business needs into practical technical blueprints* Coach and support engineering teams by offering technical direction, participating in code reviews, and providing architectural input to raise team capability* Take ownership of the full lifecycle for large-scale enterprise systems, covering design, deployment, monitoring, optimization, and ongoing enhancementRequirements* More than 8 years of steadily increasing experience in cloud engineering, systems architecture, and delivering large-scale platforms* A minimum of 1 year in a relevant leadership capacity* Expert-level command of Microsoft Azure, spanning compute, storage, identity, networking, and platform services* Extensive knowledge of Kubernetes, Azure Kubernetes Service (AKS), and Docker-based container orchestration for production environments* Advanced understanding of cloud networking, security architecture, and governance practices across enterprise-level environments* Skilled in designing and implementing large-scale Infrastructure as Code using Terraform, Bicep, and ARM templates* Background in DevOps maturity frameworks, CI/CD pipeline architecture, and platform engineering approaches that support self-service development* Capability administering both Windows and Linux operating systems, along with scripting skills for automation purposes* Strong grasp of Generative AI fundamentals, Agentic AI principles (multi-agent systems, orchestration), and Agentic Workflows for enterprise applications* Understanding of Retrieval-Augmented Generation (RAG) architecture at scale, including vector databases, embeddings, and prompt engineering* Direct experience with Azure AI Foundry and LLM integrations, such as OpenAI and Claude, for production-level applications* Familiarity with AI orchestration frameworks, including Semantic Kernel (preferred), LangChain/LangGraph, and CrewAI* Strong architectural and leadership capabilities, backed by a demonstrated history of owning and advancing large-scale enterprise systems from start to finish* Solid English communication skills (B2 level or higher)