How it worksPricingInterview questions
TCS · DevOps Engineer

TCS DevOps Engineer Interview Questions (2026): process, questions and answers

Updated 23 October 2026 · prep guide

The TCS DevOps Engineer interview usually focuses on CI/CD pipelines, container orchestration, infrastructure as code, Linux operations and monitoring. Use this guide to review typical technical, scenario and behavioural questions and to plan a focused 48‑hour revision sprint.

Preparing for TCS? Rehearse these questions with Interview AI Helper: ask any question and get a suggested answer in seconds, written from your own resume.

Free 5-minute demo

How the TCS DevOps Engineer interview usually works

  1. Application Review: Your résumé is screened and you may receive a short HR call to confirm eligibility.
  2. Technical Phone Screen: A recruiter or engineer asks core DevOps concepts and may include a coding or scripting task.
  3. Onsite / Virtual Panel: You meet several senior engineers and a manager who probe deeper into design, troubleshooting and collaboration.
  4. HR Round: A final conversation evaluates cultural fit, communication and career motivations.
  5. Offer & Closure: If you succeed, you receive an offer and discuss joining details.

Technical questions and answers

Explain the difference between a blue‑green deployment and a canary release in a CI/CD pipeline.

A blue‑green deployment maintains two identical environments, one live and one idle. Traffic is switched from the current version to the new version in one step, enabling instant rollback. A canary release sends a small fraction of traffic to the new version, monitors metrics, and gradually increases the share if no issues appear. Both aim to reduce risk, but blue‑green is an all‑or‑nothing switch, while canary provides incremental exposure and early detection of problems.

How does Terraform achieve idempotency when applying infrastructure changes?

Terraform builds a state file that records the current real‑world resources. When you run terraform plan, it compares the desired configuration with the state, generating a plan that shows only the changes needed. terraform apply then executes exactly those changes. Because the plan is derived from the difference between desired and actual state, re‑applying the same configuration produces no further modifications, ensuring idempotent behavior.

What command would you use to list all running Docker containers and display their ports?

You would run docker ps --format "{{.Names}} {{.Ports}}". The docker ps command lists containers, and the --format flag customises the output to show each container’s name followed by the port mappings, making it easy to verify which services are exposed and on which host ports.

Describe how you would set up health checks for a Kubernetes Deployment to ensure pod reliability.

Define a livenessProbe and optionally a readinessProbe in the pod spec. For example, use an HTTP GET to /healthz on a specific port with an initial delay and period. The liveness probe restarts containers that become unresponsive, while the readiness probe removes pods from service traffic until they are ready. Ensure the endpoint returns a 2xx status when the application is healthy.

What is the purpose of a service of type LoadBalancer in Kubernetes, and when would you use it?

A LoadBalancer service provisions an external load balancer (often from the cloud provider) and assigns a stable IP address that routes traffic to the pods behind the service. Use it when you need to expose an application to the internet or other external clients and want the cloud provider to manage the load‑balancing layer automatically.

Interview with TCS coming up?

Practise these DevOps Engineer questions out loud and get suggested answers in real time, based on your own resume. Free 5-minute demo, no subscription.

Try the free demo

Explain the role of gitops in modern DevOps workflows.

GitOps treats a Git repository as the single source of truth for both application code and infrastructure definitions. Automated agents monitor the repo and reconcile the live environment to match the declared state, triggering deployments when changes are pushed. This approach improves auditability, rollbacks, and consistency because every change is version‑controlled and visible in Git history.

How would you troubleshoot a flaky Jenkins job that fails intermittently?

First, check the console output for error patterns and timestamps. Correlate failures with resource usage on the Jenkins node (CPU, memory, disk) using monitoring tools. Verify network stability if external services are called. Review recent changes to the pipeline script or shared libraries. Reproduce the failure locally if possible, and add retry logic or increased timeouts for known transient steps.

What is the difference between docker exec and docker attach?

docker exec runs a new process inside a running container, allowing you to start a separate shell or command without affecting the main process. docker attach connects your terminal to the primary process of the container, showing its current output and allowing interaction if it is attached to a TTY. Use exec for ad‑hoc commands; use attach to monitor or interact with the main process.

Why is it important to store secrets outside of Docker images, and how can you do it?

Embedding secrets in images risks accidental exposure through image registries or version control. Instead, inject secrets at runtime using environment variables, Docker secrets (for Swarm), or Kubernetes Secret objects mounted as files or env vars. This keeps credentials out of the image layers and allows rotation without rebuilding containers.

How do you monitor and alert on high CPU usage in a Linux server that runs critical microservices?

Install a metrics collector such as node_exporter and feed data to a time‑series database like Prometheus. Create an alert rule that triggers when process_cpu_seconds_total or node_cpu_seconds_total exceeds a defined threshold for a sustained period. Configure Alertmanager to send notifications via email or chat. Optionally, use Grafana dashboards to visualise trends and correlate spikes with deployment events.

Scenario questions

A client’s production Kubernetes cluster shows intermittent 502 errors from a microservice. How would you investigate?

Start by checking the service’s Endpoints to ensure pods are healthy. Review pod logs and recent deployments for errors. Examine the ingress controller or load balancer health checks. Use kubectl top pod to see resource pressure, and look at latency metrics in Prometheus. Verify network policies or service mesh configurations that might drop traffic. Summarise findings and propose a fix such as scaling pods, rolling back a release, or adjusting timeout settings.

During a CI pipeline, a Terraform plan fails with a dependency cycle error. What steps do you take?

Identify the resources causing the cycle by reviewing the plan output. Break the dependency by introducing explicit depends_on where needed or by separating resources into distinct modules. Refactor the configuration to remove implicit references, such as using data sources instead of direct resource links. Run terraform validate and terraform fmt to ensure syntax correctness, then re‑run the plan to confirm the issue is resolved.

You are on call and a critical alert indicates a disk‑full situation on a Linux host running several Docker containers. What is your immediate response?

Acknowledge the alert and quickly check disk usage with df -h. Identify large files or logs using du -sh /var/log/*. If possible, rotate or delete old logs, and clean up unused Docker images with docker system prune -f. If the host is still critical, consider adding temporary storage or moving containers to another node. Document the steps taken and plan a permanent capacity‑increase to prevent recurrence.

HR and behavioural questions

Tell us about a time you had to convince a team to adopt a new CI/CD tool.

Use the STAR format: Situation, the team used manual scripts causing delays; Task, you were tasked with improving release speed; Action, you prepared a proof‑of‑concept with Jenkins, demonstrated faster builds, provided training sessions, and addressed concerns about learning curve; Result, the team adopted Jenkins, reducing release cycle time by 30 % and improving traceability. Highlight communication, data‑driven persuasion and collaborative rollout.

How do you handle conflicting priorities when multiple projects need your DevOps support?

Explain that you first gather requirements and impact assessments from each project. Then you negotiate realistic timelines with stakeholders, possibly using a Kanban board to visualise work‑in‑progress. Prioritise based on business impact, deadlines, and risk. Keep transparent communication, provide status updates, and document any trade‑offs. Emphasise flexibility and the ability to deliver incremental value without compromising critical services.

Describe a situation where you identified a performance bottleneck and how you resolved it.

Outline the context: an application’s response time was high. You used monitoring tools to trace the issue to a CPU‑bound process inside a Docker container. You profiled the code, identified inefficient loops, and suggested container resource limits. After optimisation and adjusting the pod’s CPU request, latency improved by 40 %. Mention collaboration with developers and the importance of measurable outcomes.

What motivates you to work in a large consulting environment like TCS?

Structure answer with personal drivers and alignment to company values. State that you enjoy solving diverse technical challenges across industries, which provides continuous learning. Highlight that TCS’s scale enables you to work on complex, enterprise‑grade projects and collaborate with global experts. Conclude that the opportunity to impact many clients while growing your DevOps skillset keeps you motivated.

Your last 48 hours before the interview

  1. Review the Terraform state management concepts and practice plan vs apply commands
  2. Run a local Docker‑Compose file that mimics a multi‑service app and practice docker exec and health‑probe definitions
  3. Read the latest Kubernetes service and ingress docs, focusing on LoadBalancer and NetworkPolicy examples
  4. Solve at least two practice CI pipeline scenarios, writing sample Jenkinsfile snippets
  5. Re‑run a small Prometheus‑Grafana setup and create an alert rule for CPU usage
  6. Prepare concise STAR stories for three behavioural questions and rehearse them aloud

Common mistakes to avoid

Frequently asked questions

How long is the TCS DevOps interview process?

Candidates usually experience an initial HR screen, one or two technical rounds, and a final HR or managerial interview. The total duration often spans a few weeks, depending on scheduling and the number of interviewers.

Do I need to know specific cloud platforms for TCS?

TCS projects commonly involve major clouds such as AWS, Azure or Google Cloud, so familiarity with any of them is beneficial. However, interviewers often focus on core DevOps principles that apply across platforms.

What should I bring to the on‑site interview?

Bring a few copies of your updated résumé, a notebook for notes, and any certificates that demonstrate relevant skills. A government‑issued ID is typically required for security clearance.

Will there be a coding test?

Technical rounds often include a short scripting or configuration task, such as writing a Bash one‑liner, a Terraform snippet, or a Jenkins pipeline fragment. Practice these basics beforehand.

Interview with TCS coming up?

Practise these DevOps Engineer questions out loud and get suggested answers in real time, based on your own resume. Free 5-minute demo, no subscription.

Try the free demo

More TCS interview guides

DevOps Engineer interview questions at other companies

Related reading

This is an independent preparation guide based on commonly reported interview patterns. The process varies by team, location and year. Interview AI Helper is not affiliated with TCS.

← All interview question guides