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Software Engineer, Infrastructure

Cursor (Anysphere) · San Francisco; New York

Job information is sourced from publicly available employer career pages. Always verify details on the employer's official website before applying.

Why this job?

Discovery score 42/100, built only from evidence stored with this listing.

42/100 discovery
  • New official employer listing

Score components

  • Recency (moves as the posting ages)+18
  • Official employer source+15
  • Rare role+1
  • Company source health+8

Not present on this posting: Salary disclosed、Remote position、Visa sponsorship mentioned、Relocation mentioned、Not found on monitored job boards.

Reasons come from the employer's own posting and our verified source checks. Nothing here is inferred beyond those stored signals.

Job description

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

Responsibilities

As a Software Engineer on the Infrastructure team at SpaceXAI, you'll own the foundational cloud and networking layer that every service runs on: network foundations, container orchestration, edge and security infrastructure, and the compute runtimes that power production. SpaceXAI is one of the fastest-growing developer tools in the world, and you'll drive the cost management, regional deployment strategy, and infrastructure unification that make that growth possible. When your systems work well, every team is more productive, every product surface is more reliable, and Cursor can expand to serve developers everywhere. Example projects include... • Owning Kubernetes and cluster foundations: building and operating production clusters with proper service mesh, scaling, and ingress that teams can confidently deploy to.

• Designing the geo-deployment architecture: building a replicable, robust process for deploying geo-replicated services across cloud regions and providers.

• Building edge and security infrastructure: designing the networking and security layer at the edge to protect against abuse, manage rate limiting, and optimize traffic routing.

• Owning cost management and optimization: building attribution systems, identifying waste, and ensuring we're making smart tradeoffs between cost and reliability across all cloud spend.

• Unifying the compute platform: defining a single, opinionated container orchestration strategy so every team gets consistent, reliable deployments out of the box.

You may be a fit if • You have deep experience with AWS (or comparable cloud providers), especially VPC networking, EKS/K8s, and IAM/account management.

• You've built and operated production Kubernetes clusters at scale, including service mesh, autoscaling, and multi-region deployments.

• You understand edge networking, CDN/WAF architectures, and traffic management at the infrastructure level.

• You care about infrastructure-as-code, reproducibility, and making it easy for other teams to self-serve reliable infrastructure.

• Experience with cost optimization at scale or infrastructure migration/unification is a plus.

• You have strong software engineering fundamentals and enjoy building the platform that makes every other team faster.

Applying If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. #LI-DNI

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