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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - **Company:** Harpers & Company, Inc. - **Location:** San Francisco, CA, United States - **Salary:** $140,000.0 - $280,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Databases, Continuous Integration, Python (Programming Language), PostgreSQL, Reliability Engineering, Software Engineering, TypeScript, Core Voice Platform, Datadog, Real Time Systems, Large Language Models, Multi-Agent Systems, Amazon Virtual Private Cloud (VPC), Golang - **Published:** July 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=32c9b26b494ff453 ## About the Role * Software engineering experience with a platform, infrastructure, or SRE focus (level determined during interviews) * Proficiency in Python, TypeScript, Go, or similar * Production experience with cloud infrastructure (AWS), databases (Postgres), and observability tooling * Track record of building systems and tooling that other engineers depend on * Based in San Francisco or willing to relocate Nice to Have * Experience orchestrating AI/ML workloads at scale (agent frameworks, LLM inference infrastructure) * Voice AI or real-time systems experience * Deep AWS experience (ECS, Lambda, RDS, VPC design) * Prior startup experience-especially at companies that scaled through hypergrowth ## Description You're an infrastructure-focused engineer with depth across databases, AWS, networking, observability, SRE, CI/CD, and AI tooling. You build the systems and tooling the rest of engineering depends on-optimized for performance, reliability, and developer velocity. You work directly with founders and alongside the product engineers who ship features on top of what you build. You see where things break at scale, design the fix, and ship it before it becomes a fire. When something goes wrong at 2 AM, you're the one who gets paged-and you'd rather build the system that prevents the page than accept it as inevitable. We are hiring platform engineers across all levels, which we determine during the interview process., * Own core infrastructure - Databases, AWS services, networking, CI/CD; the systems every engineer depends on * Build for scale - Thousands of concurrent AI operations, sub-second response times, cost-effective under load * Design observability that works - System-level errors AND business-level silent-failure detection; we find out something is broken from an alert, not from a person hours later * Orchestrate agentic workloads - N parallel agent instances doing non-deterministic work, running reliably and cost-effectively as N grows * Multiply developer velocity - The tooling and abstractions that let product engineers ship in days instead of weeks * Own reliability end-to-end - SLOs, on-call, incident response, and the post-mortems that make it rarer next time * Build the eval infrastructure - Systems that measure whether AI outputs are getting better, not just running, * You have depth across at least two of: databases, cloud infrastructure (AWS), networking, observability, or CI/CD * You've designed systems that survive real load-retries, DLQs, back pressure, idempotency, the whole stack * You care about developer experience-the tools other engineers use are as much your product as the customer-facing ones * You'd rather build the system that prevents the fire than firefight forever ## Related Videos - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [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) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [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)