Engineering work, scoped and delivered like engineering work.

Cloud Infrastructure

Infrastructure designed for the failure modes that actually happen, not the ones that are easy to demo.

We design and operate cloud environments on AWS, GCP, and Azure with infrastructure-as-code as the only source of truth. That means every environment is reproducible, every change is reviewed, and every rollback is a redeploy, not a fire drill. We work with teams migrating off manually managed infrastructure, and with teams scaling architectures that were never load-tested past their original assumptions.

• Infrastructure as code (Terraform, Pulumi)
• Multi-region and multi-account architecture
• Cost and capacity modeling
• Incident response and on-call design

Backend Systems

APIs and services built to be understood by the next engineer, not just the one who wrote them.

We build backend systems in Go, TypeScript, and Rust, with a strong preference for boring, well-documented technology over novelty. Our work spans greenfield service design, decomposition of monoliths that have outgrown a single deploy, and data-layer work where correctness and performance are both non-negotiable.

• Service and API architecture
• Data modeling and migration strategy
• Queueing, caching, and consistency design
• Performance profiling and load testing

Applied AI Systems

AI features scoped to a real workflow, evaluated against a real baseline, and shipped with a rollback plan.

We integrate language models and retrieval systems into existing products, with the same engineering discipline we apply to any other backend dependency: defined interfaces, monitored failure rates, and evaluation harnesses that catch regressions before your users do. We are direct with clients about where applied AI is and is not the right tool for a problem.

• Retrieval and knowledge-grounding pipelines
• Model evaluation and regression testing
• Latency and cost-aware architecture
• Human-in-the-loop workflow design

Developer Tooling

Internal tools treated as products, because the engineers using them are still users.

We build the CLIs, dashboards, and CI/CD pipelines that determine how fast your team can actually ship. This includes developer platform work, build and release automation, and internal tooling that is often the first thing to be neglected and the last thing anyone wants to touch.

• CI/CD pipeline design
• Internal developer platforms
• Release and deployment automation
• Observability and developer-facing dashboards