Lead System Engineer - Microsoft Azure

EPAM Systems; Gurugram District; On-site; INR 900,000 - 1,700,000; Full time

Job summary

EPAM Systems is seeking a Lead Cloud Engineer to architect and champion Azure platforms with advanced AI capabilities. You will act as a technical authority, guiding cloud strategy, DevOps evolution, and organization-wide AI adoption.

Collaboration with executives, engineers, and business units is key to delivering secure, scalable systems supporting critical operations. You will drive multi-region, high-availability designs, establish standards for CI/CD and IaC, and lead the adoption of AI

Qualifications

• 8+ years of cloud engineering, architecture, and large-scale platform delivery.
• At least 1 year in a leadership capacity.
• Expert-level Azure knowledge across compute, storage, identity, networking, and services.
• Hands-on with Kubernetes (AKS) and Docker in production environments.
• Strong understanding of cloud networking, security, and governance at enterprise scale.
• Experience with IaC (Terraform, Bicep, ARM templates).
• Background in DevOps maturity, CI/CD pipelines, and platform engineering.

Responsibilities

• Design cloud and AI solutions on Azure aligned with enterprise strategy and compliance.
• Build secure, scalable, multi-region systems for mission-critical operations.
• Guide DevOps transformation and modern platform engineering practices.
• Enforce CI/CD, IaC, security controls, and governance across teams.
• Develop high-availability designs with DR and performance tuning.
• Identify AI use cases and drive production implementation across functions.
• Lead Generative AI platforms including LLMs, agentic workflows, RAG, and retrieval systems.
• Shape AI strategy with leadership on roadmaps and tool adoption.
• Encourage innovation via PoCs, tech assessments, and new capabilities.

Skills

Azure

AKS

Docker

Terraform

Bicep

ARM templates

CI/CD

DevOps

English Proficiency

Tools

Terraform

Azure

Job description

We'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.

Responsibilities

• 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 enhancement

Requirements

• 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)