The demand for skilled Cloud Engineers continues to grow as organizations accelerate their cloud transformation and AI initiatives. If you’re an experienced cloud professional looking for an exciting opportunity to work on Cloud Infrastructure, DevOps, Kubernetes, CI/CD, AI/ML Platforms, and Full-Stack Cloud Solutions, then EXL has multiple openings for the Cloud Engineer position.
This opportunity is ideal for professionals who enjoy building scalable cloud infrastructure, automating deployments, managing AI workloads, and collaborating with cross-functional engineering teams.
If you have 5+ years of experience and are available to join immediately, this could be your next career move.
📌 Job Overview
🏢 Company: EXL
💼 Role: Cloud Engineer
📍 Location: Gurgaon / Bengaluru
💻 Work Type: Full-Time
🎯 Experience: 5+ Years
⚡ Notice Period: Immediate Joiners Preferred
🌍 About EXL
EXL is a globally recognized analytics, digital transformation, operations management, and AI solutions company serving Fortune 500 clients across industries including Banking, Insurance, Healthcare, Retail, Finance, Logistics, and Technology.
With thousands of professionals working across multiple countries, EXL helps enterprises modernize their technology landscape through cloud engineering, AI, automation, data analytics, and digital operations.
Working at EXL provides engineers with opportunities to solve real-world enterprise challenges while gaining exposure to modern cloud-native technologies and AI-driven solutions.
🚀 Why This Role is Great for Experienced Professionals
This Cloud Engineer role is much more than traditional infrastructure management.
You’ll get exposure to:
• ☁️ Enterprise Cloud Platforms (AWS, Azure, GCP)
• 🤖 AI & Machine Learning deployments
• 🐳 Kubernetes Production Clusters
• 🚀 GitOps & DevOps Automation
• ⚙️ Infrastructure as Code (Terraform)
• 🔥 Containerized Applications
• 📊 Monitoring & Observability
• 🔒 Cloud Security Best Practices
• 🌐 Production-scale Applications
• 💡 Generative AI and LLMOps (Preferred)
This position allows experienced engineers to work on technologies that are currently among the highest-paying skill sets in the cloud industry.
💼 Key Responsibilities
As a Cloud Engineer, you’ll be responsible for:
• Deploying and managing production cloud applications.
• Building CI/CD pipelines for automated deployments.
• Managing Kubernetes clusters and Docker workloads.
• Working with GitOps tools like ArgoCD and FluxCD.
• Deploying AI and Machine Learning services into production.
• Managing infrastructure using Terraform and Infrastructure as Code.
• Maintaining frontend applications using React.js and TypeScript.
• Integrating REST APIs with authentication workflows.
• Managing cloud networking, IAM, SSL, DNS, API Gateways, and Load Balancers.
• Implementing monitoring, logging, alerting, and observability solutions.
• Optimizing infrastructure performance and cloud costs.
• Collaborating with AI, Data Engineering, Platform Engineering, and Development teams.
🛠 Skills Required
The ideal candidate should have experience with:
☁️ Cloud Technologies
• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)
🐳 Container & DevOps
• Kubernetes
• Docker
• Helm
• GitOps
• ArgoCD
• FluxCD
⚙️ CI/CD
• Jenkins
• GitHub Actions
• GitLab CI/CD
💻 Programming
• Python
• Shell Scripting
• SQL
🌐 Frontend
• React.js
• TypeScript
🔥 Infrastructure
• Terraform
• Infrastructure as Code (IaC)
🔒 Cloud Security
• IAM
• SSL/TLS
• DNS
• Secrets Management
• Reverse Proxy
• API Gateway
📊 Monitoring
• Logging
• Observability
• Cloud Monitoring
• Metrics Collection
🤖 AI/ML (Preferred)
• AI Platform Deployment
• MLOps
• LLMOps
• Generative AI
• Vector Databases
• RAG Architecture
💰 Expected Salary Range
Although EXL hasn’t officially disclosed the compensation, based on current market trends for Cloud Engineers with 5–8 years of experience:
| Experience | Expected CTC |
|---|---|
| 5 Years | ₹16 – ₹22 LPA |
| 6 Years | ₹20 – ₹28 LPA |
| 7+ Years | ₹25 – ₹35+ LPA |
Actual compensation depends on your experience, technical expertise, interview performance, and current salary.
📝 Expected Interview Rounds
Candidates can generally expect the following hiring process:
Round 1 – HR Screening
• Experience discussion
• Notice period
• Current & expected salary
• Communication assessment
Round 2 – Technical Interview
Topics may include:
• Python
• SQL
• Cloud Architecture
• Kubernetes
• Docker
• Terraform
• CI/CD
• Git
• DevOps
• Cloud Networking
Round 3 – Practical/Technical Deep Dive
• Infrastructure troubleshooting
• Kubernetes scenarios
• CI/CD pipeline design
• Cloud deployment architecture
• Terraform coding
• Production issue handling
Round 4 – Managerial Interview
• Project discussion
• Architecture decisions
• Ownership
• Leadership
• Collaboration
Round 5 – HR Discussion
• Compensation
• Offer
• Joining timeline
📚 Preparation Tips
To maximize your chances of success:
• Revise Kubernetes concepts thoroughly.
• Practice Terraform modules and Infrastructure as Code.
• Prepare Python scripting questions.
• Refresh SQL joins, indexing, and optimization.
• Learn Docker internals and container lifecycle.
• Understand GitOps workflows using ArgoCD.
• Review CI/CD implementation in Jenkins and GitHub Actions.
• Study cloud networking concepts (VPC, IAM, Load Balancers, DNS, SSL).
• Learn AI deployment basics, including model serving and MLOps.
• Prepare production troubleshooting scenarios and incident response examples.
📄 Resume Tips
To make your resume stand out:
• Highlight production cloud projects.
• Mention Kubernetes cluster management experience.
• Include Infrastructure as Code (Terraform).
• Add CI/CD implementation details.
• Showcase Python automation scripts.
• Quantify achievements (deployment time reduced, infrastructure cost savings, uptime improvements).
• Mention cloud certifications (AWS, Azure, GCP) if available.
• Include monitoring and observability tools.
• Highlight AI/ML deployment experience if applicable.
• Keep your resume ATS-friendly with relevant keywords.
🌟 Why You Should Apply
Some of the biggest advantages include:
• 🌍 Opportunity to work on enterprise-scale cloud platforms.
• ☁️ Exposure to AWS, Azure, and GCP.
• 🤖 Work on AI and Machine Learning production systems.
• 🚀 Hands-on experience with Kubernetes and GitOps.
• 📈 Strong career growth in Cloud Engineering.
• 💼 Opportunity to work with modern DevOps practices.
• 🔥 High-demand technical skill development.
• 🤝 Collaborative engineering environment.
📧 How to Apply?
Interested candidates can apply by sending:
✅ Updated Resume
✅ Experience Summary
✅ Current CTC
✅ Expected CTC
✅ Notice Period
Email: Swati.Srivastava1@exlservice.com
Since EXL is specifically looking for immediate joiners, early applications are recommended.
🎯 Final Thoughts
If you have 5+ years of experience in Cloud Engineering, DevOps, Kubernetes, Python, SQL, CI/CD, and GCP/AWS/Azure, this is an excellent opportunity to join a globally recognized organization like EXL. The role offers exposure to modern cloud-native architectures, AI/ML deployment, Infrastructure as Code, and enterprise-scale engineering challenges, making it a strong career move for experienced cloud professionals aiming to work on cutting-edge technologies.
