Cloud Infrastructure Engineer

About Collective:

Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.

Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures, QED Investors, Google’s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.

About the role:

You'll join Collective's Infrastructure team, a small group that owns the platform every engineer here builds on: AWS and GCP foundations, CI/CD, IaC, observability, secrets management, and identity. We partner with product engineering to unblock shipping, with the security team to keep the platform safe, and with the AI Platform team on the infra behind Collective's growing AI investments. As a Senior Cloud Infrastructure Engineer on this team, you'll pave new paths, test recovery plans, and manage quiet, stable systems. You'll be the person justifying design choices with production experience and the one others turn to when a system needs rethinking.

What you'll do: 

• Use Infrastructure as Code (IaC) with Terraform to provision, deploy, and manage cloud resources on AWS and GCP as well as other SaaS vendors.

• Embed security best practices into the infrastructure by enforcing zero-trust architecture principles like least privilege and identity-based access to protect systems and data.

• Build scalable, reliable, and cost-effective systems that hold up as Collective grows.

• Develop and test disaster recovery plans.

• Own the CI/CD system engineering teams ship on. Set standards, drive reliability and speed improvements, and mentor teams on best practices.

• Reduce operational toil across the platform through automation, leveraging AI tooling where it accelerates safe, high-quality work.

• Work closely with product engineering teams to understand application needs and translate them into scalable infrastructure solutions.

• Own the observability stack (monitoring, logging, alerting) and use it to proactively identify and remediate performance bottlenecks.