Preparing for a DevOps Engineer interview at Genpact requires a balanced approach. You must demonstrate deep technical mastery while also showing that you can communicate your ideas clearly and collaborate effectively across global teams.

To stand out, align your preparation with the core evaluation criteria that Genpact interviewers prioritize:

Role-Related Knowledge – This is the foundation of your evaluation. You must show hands-on fluency in cloud platforms (AWS), containerization (Docker, Kubernetes), infrastructure as code (Terraform), and scripting (Python, Shell). Interviewers will drill down into your actual implementation experience, so be ready to explain the architecture of projects you have personally delivered.

Problem-Solving & Troubleshooting – DevOps is as much about fixing systems as it is about building them. You will be presented with real-world failure scenarios, such as an unreachable server or a failed deployment pipeline. Interviewers evaluate your logical deduction process, your command of diagnostic tools, and your ability to remain calm under pressure.

System Design & Architecture – For senior positions, you must demonstrate the ability to design scalable, secure, and highly available systems. You should be comfortable discussing hybrid cloud networking, identity federation, and automated disaster recovery strategies.

Culture Fit & Communication – Genpact values professionals who can articulate complex technical concepts to non-technical stakeholders. You should demonstrate a collaborative mindset, adaptability in the face of changing requirements, and a strong commitment to continuous learning.

The interview process for a DevOps Engineer at Genpact is designed to thoroughly assess both your technical capabilities and your behavioral alignment with the company's collaborative culture. The process is professional, structured, and typically moves at a steady pace.

You will start with an initial recruiter screen to discuss your background, expectations, and alignment with the role. This is followed by technical rounds that delve deep into your engineering skills. You should expect a mix of hands-on exercises—such as writing Kubernetes YAML files or Python scripts on a shared screen—and deep-dive discussions on cloud architecture and troubleshooting scenarios. The final stage is typically a hiring manager interview focusing on your project experiences, leadership capabilities, and cultural fit.

The timeline above outlines the typical progression from your initial application to the final offer. Most candidates complete this entire loop within three to four weeks, depending on scheduling availability. Use this timeline to pace your preparation, ensuring you are fully ready for hands-on coding and deep system-design questions by the time you reach the technical evaluation stages.

To excel in your Genpact interviews, you must understand the specific domains where you will be evaluated. Below is a detailed breakdown of the primary evaluation areas, including key concepts to master and example scenarios you may encounter.

Cloud Infrastructure & Networking (AWS)

Genpact heavily utilizes AWS to host and manage client workloads. Interviewers will assess your ability to design secure network topologies, connect hybrid environments, and optimize cloud spend.

Be ready to go over:

• VPC Design & Security – Subnets, route tables, Internet Gateways, NAT Gateways, Network Access Control Lists (NACLs), and Security Groups.
• Hybrid Connectivity – Site-to-Site VPN, AWS Direct Connect, and Transit Gateway architecture.
• Identity & Access Management – IAM policies, roles, and integrating AWS with external directory services like Active Directory.
• Cost Optimization – Utilizing spot instances, savings plans, auto-scaling, and identifying idle resources.

Example questions or scenarios:

• "An application server in a private subnet needs to download updates from the internet but must not accept incoming public connections. How do you configure the network?"
• "Walk me through how you would configure a highly available Site-to-Site VPN connection between an on-premises data center and an AWS VPC."

Containerization & Orchestration (Docker & Kubernetes)

As applications migrate to microservices, container management is a critical skill. You will be evaluated on your ability to package applications efficiently and manage them at scale.

Be ready to go over:

• Docker Fundamentals – Writing efficient Dockerfiles, multi-stage builds, container networking, and security scanning.
• Kubernetes Architecture – Pods, Deployments, Services, Ingress, ConfigMaps, and Secrets.
• Kubernetes Autoscaling – Configuring HPA, VPA, and Cluster Autoscaler to handle fluctuating workloads.
• Advanced concepts (less common) – Service meshes (e.g., Istio), custom resource definitions (CRDs), and writing Helm charts.

Example questions or scenarios:

• "Write a Kubernetes Deployment YAML file that deploys three replicas of an Nginx web server, exposes port 80, and configures CPU resource limits."
• "How does the Horizontal Pod Autoscaler determine when to scale up, and what metrics does it use by default?"

Infrastructure as Code & CI/CD Pipelines

Automation is the cornerstone of DevOps at Genpact. You must demonstrate how you use code to provision infrastructure and deliver software safely and repeatably.

Be ready to go over:

• Terraform Best Practices – State management, locking, modules, workspaces, and handling secrets.
• CI/CD Tools & Pipelines – Designing pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.
• Deployment Strategies – Implementing blue-green, canary, and rolling deployments to minimize downtime.
• Monitoring & Observability – Integrating tools like Prometheus, Grafana, Datadog, or AWS CloudWatch to monitor system health.

Example questions or scenarios:

• "How do you prevent state file corruption or race conditions when multiple engineers are running Terraform concurrently?"
• "Describe a scenario where a deployment pipeline fails halfway through. How do you design your pipeline to roll back safely without impacting production traffic?"

Systems, Scripting & Troubleshooting

A great DevOps Engineer is an exceptional troubleshooter. You will be tested on your ability to write clean scripts and diagnose system-level issues under pressure.

Be ready to go over:

• Linux Administration – Process management, system resources, storage troubleshooting, and log analysis.
• Scripting (Python/Shell) – Automating administrative tasks, parsing data formats (JSON, YAML, CSV), and interacting with APIs.
• Git Version Control – Rebase vs. merge, cherry-picking, pull request workflows, and Git hooks.

Example questions or scenarios:

• "A Linux server is experiencing a sudden spike in disk I/O, causing application latency. What commands do you run to find the culprit process?"
• "Write a Python script that queries an API endpoint, parses the returned JSON data, and prints only the fields that match a specific condition."