DRIVENETS Platform Engineer Interview: Questions, Experience & Prep (2026)

DRIVENETS is a networking technology company that builds cloud-native, disaggregated networking solutions for major telecom operators. Their platform separates the network operating system from hardware, letting carriers run carrier-grade routing on commodity servers. Platform Engineers own the infrastructure that keeps this running, including CI/CD pipelines, container orchestration, observability stacks, and automation tooling.

As of July 2026, there are 204 Platform Engineer openings tracked across India, with DRIVENETS alone carrying 41 open roles. The table below shows where Platform Engineer jobs are concentrated across key cities.

Bangalore leads by a wide margin. The DRIVENETS interview process typically involves a recruiter screen, two or more technical rounds covering networking and infrastructure depth, and a system design discussion. Candidates report the process is thorough but well-structured.

These questions come up repeatedly, based on what candidates report and the nature of DRIVENETS's platform work.

1. Walk me through how disaggregated networking differs from traditional chassis-based routing hardware.
2. How would you design a CI/CD pipeline for deploying network operating system updates with zero downtime?
3. Describe your experience with Kubernetes in a networking or telco environment.
4. How do you handle observability and alerting for a distributed, multi-node network platform?
5. A forwarding element in a disaggregated setup stops responding. Walk us through your troubleshooting approach.
6. What is your experience with eBPF or DPDK, and where would you apply each in a high-throughput platform?
7. How do you manage and detect configuration drift across a large fleet of network nodes?
8. Describe a time you improved the reliability of a critical infrastructure component.
9. How do you approach capacity planning for a cloud-native network platform that needs to scale with traffic growth?
10. What is your hands-on experience with BGP, IS-IS, or MPLS at the platform level?
11. How would you automate the validation of a new NOS release before it reaches production?
12. Tell us about a time you worked cross-functionally with software developers and network engineers to solve a hard problem.

Q: Describe a time you improved the reliability of a critical infrastructure component.

*Situation:* Our team ran a bare-metal Kubernetes cluster that managed routing control-plane containers. A single node failure could cascade and drop active BGP sessions.

*Task:* I was asked to redesign the deployment so that any single node failure had zero impact on production routing.

*Action:* I introduced pod anti-affinity rules to spread critical pods across physical nodes, added liveness probes that checked actual BGP session state rather than just process health, and configured PodDisruptionBudgets to prevent simultaneous evictions during planned maintenance.

*Result:* We simulated node failures in staging and confirmed zero BGP session drops across all tests. The on-call team reported a clear reduction in P1 alerts in the quarter that followed.

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Q: How did you build observability for a distributed network system?

*Situation:* The team had no unified view of control-plane health across a multi-region deployment. Incidents were often reported by customers before we detected them internally.

*Task:* I was asked to build a monitoring stack that could surface network anomalies before they reached end users.

*Action:* I deployed a Prometheus and Grafana stack, wrote custom exporters to surface routing protocol state including BGP prefix counts and IS-IS adjacency health, and created alerting rules with meaningful thresholds rather than simple up/down checks.

*Result:* The team caught a misconfigured route reflector during off-hours before it affected any customer traffic. Industry surveys commonly cite this kind of proactive monitoring as a significant driver of faster incident detection across platform teams.

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Q: Tell us about a time you worked cross-functionally to solve a hard problem.

*Situation:* A new NOS release was failing intermittently in performance tests but passing all unit and integration tests. No single team could reproduce it reliably.

*Task:* I needed to coordinate between the software development, QA, and network operations teams to isolate the root cause.

*Action:* I set up a shared observability dashboard visible to all three teams, scheduled a brief daily sync, and wrote a reproducible test harness so any team could trigger the failure on demand rather than waiting for random conditions.

*Result:* The root cause turned out to be a race condition in packet forwarding under high load. All three teams converged on the fix within two sprints, and the release shipped on schedule.

For architecture and design questions: use a Problem-Context-Decision-Outcome structure. Start with the problem you were solving, give relevant context such as scale and constraints, explain the decision you made and why you chose it over alternatives, then share a measurable outcome. This shows both technical depth and business awareness.

For troubleshooting questions: walk through your thinking layer by layer. Start at the infrastructure or physical level, move up through the network layer (data plane first, then control plane), and reach application-level checks last. Show how you isolate variables and form hypotheses before touching anything in production.

For 'how would you design' questions: start with requirements before proposing a solution. Ask about availability targets, expected traffic scale, and operational constraints. Then propose a design, name the trade-offs you are accepting, and explain how you would validate it before go-live. Interviewers at platform-focused companies typically value the trade-off discussion as much as the design itself.

DRIVENETS builds infrastructure that large telecoms depend on for live traffic, so interviewers typically look for engineers who are equally comfortable with deep networking concepts and modern DevOps tooling. They want to see networking knowledge that goes beyond 'I have configured BGP' and into understanding why routing protocols behave the way they do under failure conditions.

Candidates report that showing genuine curiosity about disaggregated networking, including reading DRIVENETS's publicly available technical material before the interview, signals strong cultural fit. The company operates at the intersection of network engineering and software infrastructure, so interviewers value people who can speak both languages fluently.

Problem-solving approach matters as much as the final answer. Saying 'I don't know the exact answer, but here is how I would investigate it' is valued over guessing. Interviewers also look for engineers who think about failure modes proactively rather than reactively, since the platform supports real carrier traffic.

Week 1: Review DRIVENETS's publicly available technical material on disaggregated networking. Brush up on BGP, IS-IS, and MPLS fundamentals. If these protocols are not part of your day job, work through troubleshooting scenarios on paper to build your intuition.

Week 2: Practice Kubernetes networking topics, specifically CNI plugins, pod networking, service mesh basics, and how Kubernetes handles node failures gracefully. Write out two or three STAR stories from your own experience covering reliability, observability, and cross-team collaboration.

Week 3: Do mock system design sessions out loud, focused on high-availability network platforms. Practice naming trade-offs explicitly rather than just describing your preferred solution. Get comfortable saying what you would not do and why.

Before the interview: Prepare a few questions for the interviewer about the team's current platform challenges, how they handle NOS deployments today, and what the on-call experience looks like. Interviewers typically appreciate candidates who have done real research.

If you are actively looking, knok checks 150+ job sites nightly, applies to jobs that match your resume, and messages HR for you, so you do not miss DRIVENETS or similar platform engineering roles while you are busy preparing.

Treating the role as pure DevOps without networking depth. Platform Engineers at DRIVENETS need both. If your experience is mostly pipelines and Kubernetes with little networking knowledge, spend time closing that gap before you apply.

Giving vague answers about infrastructure work. Saying 'I worked on Kubernetes' is not enough. Interviewers want to know what you built, what broke, and what you did about it.

Skipping clarifying questions during system design. Jumping straight to a solution without validating requirements is a common red flag. Interviewers typically want to see you ask about scale, failure modes, and operational constraints before drawing any architecture.

Underselling reliability work. If you reduced downtime, improved availability, or caught an incident before customers noticed, say so with specifics. This is exactly the kind of impact DRIVENETS cares about.

Not researching disaggregated networking before the interview. You do not need to be an expert, but understanding the basic concept of separating the NOS from hardware will help you ask better questions and give more relevant answers throughout every round.