Remote Cloud Infrastructure Lead; AI-Native

Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place and we are backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes like Tom Brady and Giannis Antetokounmpo. Our next frontier is real-time pricing at scale—the Alt Value that powers every trade, loan, and product on the platform.

We're looking for an Infrastructure Engineer to own the platform that Alt's engineering team builds on. Today, infrastructure work at Alt is distributed across product engineers with no dedicated owner. You'll change that. You'll lead our cloud infrastructure, developer environments, and observability, making the entire engineering org faster, more reliable, and more cost-efficient.

This is a foundational hire. You'll define how Alt operates as an AI-native engineering organization, from the environments our agents run against to the deployment pipelines our engineers ship through every day.

• Own cloud infrastructure end-to-end: Take ownership of Alt's AWS footprint (ECS, RDS/Aurora, EC2, S3, SQS, ALB, and more). Right-size over-provisioned resources, de-provision orphaned services, implement resource tagging, and build cost visibility so we can make informed trade-offs as we scale.

• Build reproducible environments: Lead the effort to give every engineer (and every AI agent) the ability to spin up isolated, prod-like instances of Alt on demand. This means database cloning, per-branch services, routing, seed data, and auto-teardown. This is the substrate for how we want to build software.

• Fix staging: Make non-production environments reliable and representative, so engineers can stop testing in production, stop setting up test state by hand, and stop working around flaky search infrastructure.

• Bring Terraform under control: Fix infrastructure-as-code drift, build CI/CD automation, and make infrastructure changes safe and reviewable.

• Own observability and incident response: We run Datadog, Sentry, and Posthog across the stack. Rationalize our monitoring, improve alerting, and make sure we catch issues before our users do.

• Be a multiplier: You'll be the infrastructure leader for a growing engineering team. Level up the org through documentation, tooling, code reviews, and mentorship. Set the standard for how we operate.

• Think in systems, not tickets: You see the connection between a flaky staging env, a rising cloud bill, and engineering velocity. You want to fix the root cause, not patch symptoms.

• Care about developer experience: You measure your success by how much faster and more confidently your teammates can ship. You build tools and platforms, not just infrastructure.

• Are cost-conscious by instinct: You know the difference between saving money and cutting corners. You think about unit economics when you see over-provisioned instances.

• Are excited about AI-native engineering: You see reproducible environments as the substrate for AI agents to do real work, and you want to build that substrate.

• Want to lead, not just execute: This isn't a role where someone hands you Terraform tickets. You'll define the infrastructure roadmap, make trade-off decisions, and own outcomes.

• 7+ years of infrastructure, platform, or SRE experience with deep AWS expertise (ECS, RDS/Aurora, EC2, ALB, IAM, Cloud Formation or Terraform)

• A track record of owning and improving CI/CD pipelines, deployment infrastructure, and developer tooling at a growing company

• Experience building or managing non-production environments: staging, ephemeral environments, seed data systems, or similar

• Strong opinions on observability. You've instrumented…