About the RoleThis is a backend-architecture-heavy platform engineering role responsible for the reliability, scale, performance, and developer experience of core infrastructure and systems. You'll join a tight-knit engineering team of ~15 and own everything from production uptime and incident response to CI/CD and cost efficiency - work that directly shapes how fast and dependably the platform can be built on and operated.
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 developer tooling.
What We're Looking For- 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, networking, load balancers, and secrets management.
- Track record of building or operating CI/CD, release automation, observability, alerting, and incident response systems.
- Strong backend engineering judgment - able to reason about service architecture, APIs, databases, async systems, queues, scaling limits, and production failure modes.
- Experience designing 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 is a strong plus.
- Demonstrated focus on reducing cloud spend through better architecture, autoscaling, workload placement, caching, or cleanup systems.
- Comfortable writing production-quality code - this is not a pure ops role.
Compensation & BenefitsSalary range:
$150,000 - $250,000 USD annually. Visa sponsorship is available.
LocationOn-site in
San Francisco, CA. Singapore-based candidates are also welcome (on-site). Candidates based elsewhere - particularly in Europe - may be considered as fully remote independent contractors.
