United States onlyWhat you'll doThis is a unique opportunity to help us build, scale, and harden the infrastructure that powers everything at Haus — from machine learning pipelines to real-time collaboration and data products. You’ll work closely with our security, platform, and product teams to ensure our infrastructure is performant, resilient, and secure.
We’re looking for a pragmatic engineer who thrives in ambiguity, enjoys working across the stack (infra, tools, systems), and can lead with clarity as we grow. If you love shipping clean infrastructure, automating the boring stuff, and scaling platforms that developers actually enjoy using — this role is for you.
In addition to core infrastructure, you’ll help drive developer productivity by shaping the internal tools, environments, and workflows that accelerate shipping across the org. You’ll remove friction from day-to-day engineering, define golden paths, and help us scale a platform that feels fast, safe, and empowering to use.
Responsibilities
- Design and operate robust, scalable infrastructure systems on GCP (bonus if you’ve done it on AWS too).
- Build and maintain infrastructure-as-code using Terraform and related tooling.
- Lead productivity engineering efforts by building paved roads for CI/CD, local dev environments, and developer tooling.
- Collaborate across teams to define and evolve architecture patterns — from observability and security to build and release pipelines.
- Harden the platform for availability, scale, and cost-efficiency.
- Own the lifecycle of foundational components (e.g., Kubernetes, VPCs, IAM, service mesh, etc.).
- Contribute to a strong DevOps culture that prioritizes reliability, velocity, and developer experience.
Qualifications
- 7+ years of relevant experience in infrastructure, DevOps, or platform engineering roles.
- Strong experience with modern cloud infrastructure (we use Google Cloud, but AWS experience translates well).
- Proficient with infrastructure automation (Terraform, Helm, Bash/Python/Go).
- Experience running and scaling Kubernetes clusters in production.
- A passion for improving developer experience and streamlining build/test/deploy pipelines.
- Comfortable with system-level debugging, performance tuning, and distributed system design principles.
- You think in platforms — and know how to balance clean abstraction with fast delivery.
- You’re a strong communicator who thrives in high-trust, low-ego environments.
Bonus Points
- You’ve worked in earlier-stage startups or fast-moving product environments.
- Experience with observability stacks (Prometheus, OpenTelemetry, Grafana, etc.).
- Familiarity with security-first infrastructure: SAST/DAST, IAM policies, VPC Service Controls, etc.
- BS/MS/PhD in Computer Science, Engineering, or a related field.
