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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - **Company:** CLERA, LLC - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $150,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Training Data, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Application Release Automation, Cloud Computing, Databases, Continuous Integration, Identity and Access Management, Key Management, Azure Machine Learning, Service-Oriented Architecture, Software Engineering, Reinforcement Learning, Autoscaling, Delivery Pipeline, Caching, Backend, Kubernetes, Terraform, Docker - **Published:** August 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=135a383ca9749265 ## About the Role * 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. ## Description We're a fast-moving AI/ML platform startup building infrastructure for reinforcement learning environments, post-training data pipelines, and large-scale agent evaluation. Our engineering team of ~15 includes exceptional technical talent - competition medalists, serial AI startup founders, and published researchers., * 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. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Platform Engineering vs. DevOps Why not both?](https://www.wearedevelopers.com/videos/885-platform-engineering-vs-devops-why-not-both) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)