Platform Engineer

Навыки

• AWS
• CI/CD
• Многопоточность
• Docker
• Форензика и реагирование
• Helm
• IAM / IDM

О компании и продукте

• We're a fast-growing AI/ML platform startup building infrastructure for training, evaluating, and aligning AI models within reinforcement learning environments. Our engineering team of ~15 includes competitive programming medalists, serial AI startup founders, and researchers published at top venues — and we're looking for a Platform Engineer to own the reliability, scale, performance, and developer experience of our core infrastructure.
• This is a backend-architecture-heavy role with high ownership. Your work will directly determine how fast, reliable, and cost-effective our platform is to build on and run.

Задачи

• 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 — 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 production code to automate systems, improve backend services, and create internal developer tooling

Требования

• 2–4 years of experience owning production cloud infrastructure for a high-availability, user-facing platform, with accountability for uptime, performance, deployment safety, and cost
• Deep hands-on experience with AWS and containerized systems
• strong familiarity with Terraform, Kubernetes/EKS, Docker, EC2, load balancers, networking, 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
• Ability to write production-quality code to automate infrastructure, improve backend services, and build internal tooling

Будет плюсом

• 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, or cleanup systems
• Experience building internal platforms or developer tools that improve engineering productivity without hiding complexity
• We prioritize technical aptitude, ownership, and learning potential over years of experience
• LOCATION
• San Francisco, CA (on-site): US-based candidates must be located in San Francisco
• Singapore (on-site): Southeast Asia-based candidates must be located in Singapore
• Fully remote (contractor): Candidates based elsewhere — particularly in Europe — may be considered as fully remote independent contractors
• Visa sponsorship is available

Условия

• Salary: $150,000 – $250,000 USD annually (for full-time roles)
• Opportunity to have significant ownership and direct impact at an early-stage, well-funded AI infrastructure company
• Work alongside a world-class technical team building foundational infrastructure for AI alignment and post-training data

Паспорт вакансии

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