EPAM Systems
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Coimbatore · On-site · 8-11 Yrs · 1 day ago
Information Technology Support Services · 10000+ Employees · Newtown, US
EPAM (NYSE:EPAM) is a 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, EPAM empowers organizations to become AI-Native enterprises, driving measurable value from innovation and digital investments. Recognized by industry benchmarks and leading analysts as a leader in AI, EPAM delivers globally while engaging locally, making the future real for clients, partners, and employees. We are proud to be recognized by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world. In India, EPAM has grown rapidly to 12,000+ EPAMers across six locations in major cities: Hyderabad, Pune, Bangalore, Gurgaon, Chennai and Coimbatore. Learn more at: https://welcome.epam.in/
Hiring: Engineering
What employees say
+ Epam is very Good company
− No such cons to mention
More reviews on the company profile.
Interview experience · Java Software Engineer
Screening round focused on coding: 1. Merge two sorted arrays without streams or built-in functions, 2. followed by a Java Stream API-based problem to convert a given String into another string.
Easy difficulty · India · 1,167 reports
More interview insightsJob description
Overview
We're looking for a Senior Systems Engineer bringing extensive Azure DevOps knowledge along with practical experience constructing scalable, secure cloud-native and AI-enhanced solutions.
Responsibilities
- Architect and build out a cloud infrastructure on Azure designed for scalability
- Build sophisticated CI/CD pipelines incorporating automation and quality checkpoints
- Take the lead on automating infrastructure using Terraform, YAML, and ARM
- Oversee AKS clusters along with containerized application workloads
- Fine-tune systems to achieve strong availability, solid performance, and cost efficiency
- Construct backend services built on Azure-native components
- Roll out secure deployments suitable for production environments
- Develop and connect GenAI applications through LLM API integration
- Build backend infrastructure supporting AI-powered applications
- Provide mentorship and guidance to junior engineering staff
Qualifications
- Between 5 and 8 years of experience in systems engineering
- Strong command of Azure architecture and implementing advanced CI/CD strategies
- Skilled in automating infrastructure at scale using Terraform, Bicep, and ARM
- Capability deploying and managing Kubernetes (AKS) in production settings
- Solid background in networking, security practices, and identity management (IAM)
- Experience administering both Windows and Linux operating systems
- Familiarity with Azure AI Foundry and RAG architecture using Cognitive Search or vector database solutions
- Ability to build and integrate GenAI applications leveraging LLM APIs
- Strong capabilities in system design and troubleshooting complex issues
- Demonstrated track record delivering production-grade deployments
Nice to have
- Familiarity with AI agents and tool-calling mechanisms
- Working knowledge of MCP integration approaches
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Job application FAQ
Last updated 14 October 2026
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