Cursor Logo

Cursor

Software Engineer, Infrastructure

Reposted One Month Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
Build and operate foundational cloud and networking infrastructure: Kubernetes/cluster foundations, geo-replication, edge/security layers (CDN/WAF/traffic management), cost optimization, and a unified container orchestration platform enabling reliable, self-serve deployments.
The summary above was generated by AI

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.

About the Role

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

Cursor San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

3 Days Ago
In-Office
Sunnyvale, CA, USA
153K-204K Annually
Senior level
153K-204K Annually
Senior level
Cloud • Information Technology • Machine Learning
Build and operate security infrastructure, including SIEM systems, large-scale data pipelines, searchable data lakes, and security observability capabilities. Integrate infrastructure sources, acquire and process high-volume logs, and support detection, threat hunting, and insider-risk programs. Collaborate with security, data platform, and infrastructure teams to deliver reliable, scalable solutions using Go or Python, Kubernetes, Elasticsearch, and related technologies.
Top Skills: Data LakesData PipelinesElasticsearchGoKubernetesPythonSIEM
11 Days Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
196K-294K Annually
Mid level
196K-294K Annually
Mid level
Artificial Intelligence • Cloud • Software
Own and evolve Vercel’s agentic infrastructure and build/deployment systems at scale. Design high-performance microservices, scalable APIs, resilient database schemas, and reliable workflows processing millions of builds daily. Lead projects from technical direction through production operation, improve performance and developer experience, collaborate cross-functionally, participate in on-call rotation, contribute to open source, and establish standards for scalability and reliability.
Top Skills: APIsArtifact StorageAWSBuild CachingCi/CdDistributed SystemsDynamoDBJavaScriptMicroservicesMonoreposNext.JsPolyreposReactTerraformTypescriptWebhooks
14 Days Ago
Hybrid
155K-270K Annually
Senior level
155K-270K Annually
Senior level
Healthtech • Machine Learning • Software • Biotech • Pharmaceutical
Develop and automate infrastructure systems that build, test, deploy, and monitor development and production environments. Design secure internal infrastructure services using Terraform, GitHub Actions, Python, and Bash. Troubleshoot infrastructure issues, manage containerized web services, support Linux systems administration, and implement robust deployment automation and continuous integration solutions.
Top Skills: BashDockerGithub ActionsHelmKubernetesLinuxPythonRubyTerraformTilt

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account