AI Code Editor · San Francisco
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.
As an Engineering Manager on the Infrastructure team at Cursor, you'll lead the team that owns the foundational cloud, networking, storage, and compute layer that every service runs on: network foundations, container orchestration, edge and security infrastructure, data storage systems, and the compute runtimes that power production. Cursor 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 team's systems work well, every team is more productive, every product surface is more reliable, and Cursor can expand to serve developers everywhere.
You'll set technical direction, write and review code, and lead a team of strong infrastructure engineers, balancing hands-on contribution with growing your team's impact.
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 data storage strategy: leading the team's work on Postgres, OLAP systems, and caching layers, ensuring our storage infrastructure is reliable, performant, and scales with the product.
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.
Hiring and growing the team: sourcing, interviewing, and closing top infrastructure talent, while developing your engineers through coaching, mentorship, and high-leverage project assignments.
You have led engineering teams building and operating production infrastructure or platform systems at scale.
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 have strong opinions on databases, storage engines, caching, and schema design, and understand the tradeoffs between performance, consistency, and cost.
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, infrastructure migration/unification, or data storage systems (Postgres, ClickHouse, OLAP) is a plus.
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