Cursor Software Engineer, Infrastructure Interview: Questions & How to Prepare

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 it as force multiplication: when your systems hold up, every team ships faster and every product surface is more reliable. It names cost management, regional deployment strategy, and infrastructure unification as what keeps a fast-growing product expanding.

The job description lists five example projects. Read them as the source of every interview signal below. The interview can only sample what the role actually requires.

• 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.

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.

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 deeper than your first answer: operating experience is exactly what short technicals probe for.

Preparation for this role is mostly proof, not trivia. What proves you out is infrastructure you've operated yourself: a cluster you scaled, an edge layer you designed, a cloud bill you cut. 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 technicals probe.
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.

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. Cursor weights operating experience and cloud depth over years alone, 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.

Read the emphasis carefully: the JD asks for infrastructure you have "built and operated," and its example projects repeat the operating verbs: building and running clusters, not only designing them. If your background is infrastructure on paper without production ownership, close that gap first. The technicals and onsite project look for systems you kept alive under real traffic, not a reference architecture.