Cursor Software Engineer, Infrastructure Interview Questions

You own the foundational cloud and networking layer every Cursor service runs on: network foundations, container orchestration, edge and security infrastructure, and the compute runtimes behind production. The posting frames that as force multiplication, on the argument that when your systems work well every team is more productive and every product surface is more reliable. Cost management, regional deployment strategy and infrastructure unification are what it names as making continued growth possible.

The job description lists five example projects. They are the source of every interview signal below, if only because an interview can sample nothing the role does not require.

• Own Kubernetes and cluster foundations: build and operate production clusters with a proper service mesh, scaling, and ingress that teams can deploy to with confidence.
• Design the geo-deployment architecture: a repeatable process for deploying geo-replicated services across cloud regions and providers.
• Build edge and security infrastructure: the networking and security layer at the edge that protects against abuse, manages rate limiting, and optimizes traffic routing.
• Own cost management and optimization: attribution systems, finding waste, and making smart tradeoffs between cost and reliability across all cloud spend.
• Unify the compute platform: one opinionated container orchestration strategy so every team gets consistent, reliable deployments by default.

Read the five together and an asymmetry shows up. The geo-deployment project wants a repeatable process across cloud regions and providers, plural, while the fit criteria further down the same posting ask for depth in AWS or a comparable cloud provider. Bring whatever opinion you have about what makes a deployment process portable, and don't stretch one cloud's experience into a multi-cloud claim someone in the room can check.

This posting is more forthcoming than most Cursor roles: its "Applying" section says that if there's a fit, they schedule "2-3 short technicals," then an onsite in the office where you work on a small project, discuss ideas, and meet the team. That's the shape, but Cursor still doesn't publish the questions, a rubric, or what each stage weights, so treat any detailed "the Infra loop is X" claim with skepticism and prepare the bar the responsibilities set.

The cost row states a tradeoff and can't settle it, which is the reason I'd rehearse that row before the others. Notice that the JD's own cost bullet puts building attribution systems ahead of identifying waste.

Cut before you can attribute and you cut what is visible instead of what is expensive, and the reliability cost lands on a team that never saw the decision get made.

The failure mode worth guarding against is an infrastructure story with no users in it. Two of the five projects are, in effect, defined by other teams: clusters that teams can confidently deploy to, and one orchestration strategy so every team gets consistent deployments. Describe a platform nobody migrated onto and you have described the easy half. Unification is mostly the other half, the part where you talk other teams out of what they already built.

These are question types the job description implies, the kind of prompt each responsibility naturally invites. Prepare a concrete story for each and, where you can, a design you can whiteboard. Expect follow-ups a level past your first answer. The posting never says what the short technicals cover, and depth on systems you have operated is what to walk in holding.

Six cards, and you probably need fewer than six systems. One cluster you ran yourself can carry the Kubernetes prompt, most of the networking one, the edge question if you put rate limiting in front of it, and the cost answer if you know what it billed.

Preparation here is mostly proof rather than trivia. What proves you out is infrastructure you operated yourself: a cluster you scaled, a cloud bill you brought down. Work the steps below, and route the reps through daily product use so you can also speak to Cursor itself.

1. 1Stand up and operate real infrastructure: an EKS (or comparable) cluster with a service mesh, autoscaling, and ingress. Break it on purpose and fix it. Operating experience is what the fit criteria ask for.
2. 2Whiteboard an edge and security layer for a service: rate limiting, WAF/CDN, abuse protection, and traffic routing, with the tradeoffs named.
3. 3Do a cost pass: build a simple spend-attribution view, find one source of waste, and be ready to defend a single cost-versus-reliability tradeoff.
4. 4Express your setup as infrastructure-as-code that another team could self-serve; reproducibility is called out directly in the JD.
5. 5Work in Cursor daily on a real infra repo (Terraform, Kubernetes manifests, Go or Python tooling) using Tab, inline edit, and Agent. Know what changed in Cursor in 2026 so you can speak to the product you'd help run.
6. 6If you're newer to Cursor, ground yourself in the fundamentals first, then run structured reps.

The instruction inside step one that people skip is breaking the thing on purpose. Standing a cluster up is the quick part. Watching it fall over under load and working out why is, I think, what separates the two Kubernetes answers in the card above, and it is not something you can rehearse the night before.

Daily use of the product is the preparation asset the rest of this site treats as the one that always transfers. For this posting I would rank it below the four infrastructure steps above it. The requirements name AWS, Kubernetes, edge networking and infrastructure-as-code, and none of them mention using Cursor, so step five is what lets you talk about the product you would be keeping online, and it is no substitute for the cloud and Kubernetes depth those requirements name.

For structured reps, the free Software Engineer, Infrastructure practice track here runs the role charter, cloud and networking, Kubernetes, edge and multi-region, infrastructure-as-code and cost tradeoffs, a why-Cursor module, and an onsite-style project capstone. It's built around this job description: it mirrors the topics and the onsite project the posting describes, not Cursor's actual questions or rubric.

The fit criteria in the posting are specific, and they double as your prep checklist. The posting sets no years-of-experience bar; what it asks for is operating experience and cloud depth, and it flags one item (cost optimization or infrastructure migration) as a plus rather than a hard requirement.

• Deep experience with AWS (or comparable cloud providers), especially VPC networking, EKS/K8s, and IAM/account management.
• Built and operated production Kubernetes clusters at scale, including service mesh, autoscaling, and multi-region deployments.
• Understanding of edge networking, CDN/WAF architectures, and traffic management at the infrastructure level.
• Care for infrastructure-as-code, reproducibility, and making it easy for other teams to self-serve reliable infrastructure.
• A plus: cost optimization at scale, or infrastructure migration and unification.
• Strong software engineering fundamentals, and enjoyment of building the platform that makes every other team faster.

Few candidates arrive with all of those at equal depth, so decide early which gap to close. Edge is a reasonable default. Plenty of infrastructure engineers have run services behind a CDN and a WAF without ever writing the rules, and edge sits in the fit criteria and in the example projects both. If your prep time only stretches to two of the steps above, make the edge whiteboard one of them.

Read the emphasis carefully. The JD asks for infrastructure you have "built and operated," and its first example project is building and operating production clusters, not only designing them. If your background is infrastructure on paper without production ownership, close that gap first. Walk in with systems you kept alive under real traffic.