About the RoleAs a
Platform Engineer, you'll own the reliability, scale, performance, and developer experience of our core infrastructure and systems. This is a backend-architecture-heavy role with real production ownership - your work directly shapes how fast, reliable, and cost-effective our platform is to build on and run.
What You'll Do- Own production uptime, latency, provisioning speed, infrastructure cost, and incident response for core platform services.
- Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management.
- Design and improve backend and platform systems for scale - including capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths.
- Define and improve dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows so failures are detected, debugged, and resolved quickly.
- Build reliable CI/CD pipelines, release automation, environment management, and deployment workflows that improve developer productivity and reduce production risk.
- Write clean, maintainable code to automate systems, improve backend services, and create internal tooling.
What We're Looking ForRequired- 2-4 years of experience owning production cloud infrastructure for a high-availability, user-facing platform, with responsibility for uptime, performance, deployment safety, and cost.
- Deep hands-on experience with AWS and containerized systems; strong familiarity with Terraform, Kubernetes/EKS, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management.
- Proven track record building or operating CI/CD, release automation, observability, alerting, and incident response systems.
- Strong backend engineering judgment - ability to reason about service architecture, APIs, databases, async systems, queues, scaling limits, and production failure modes.
- Ability to write clean, maintainable code and apply software engineering judgment across infrastructure, backend systems, and developer workflows.
- High ownership mindset; comfortable being accountable for production systems end-to-end.
Nice to Have- Experience designing systems for bursty workloads, long-running jobs, sandboxed execution, distributed workers, or high-concurrency services.
- Background operating infrastructure for data-heavy, ML/AI, workflow, marketplace, developer-tools, or enterprise platforms.
- Demonstrated focus on reducing cloud spend through better architecture, autoscaling, workload placement, caching, cleanup systems, or observability.
LocationThis role supports a few location arrangements:
- San Francisco, CA (on-site) - preferred for US-based candidates.
- Singapore (on-site) - for Southeast Asia-based candidates.
- Fully remote (independent contractor) - open to candidates elsewhere, particularly in Europe.
Visa sponsorship is available.
Compensation & Benefits- Salary: $150,000 - $250,000 USD annually (full-time, US-based).
- Equity participation in an early-stage, well-funded AI startup.
- Work alongside a world-class technical team on infrastructure that operates at real scale.
- High degree of autonomy and direct impact on product and platform direction.
