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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Engineer (New Product Build - Go/Python, React, TS, Next, GCP, Cloudflare) - **Company:** Stem - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $164,000.0 - $205,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, Cloud Computing, Cloud Engineering, Code Review, Data Synchronization, JSON, Python (Programming Language), Next.js, Software Engineering, Strategies of Testing, TypeScript, WebSocket, Scripting, Real Time Systems, ReactJS, Retrieval-Augmented Generation, Large Language Models, Concurrency, Backend, Production Code, Cloudflare, Graphql, Api Design, Api Management, Golang, Programming Languages - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/staff-engineer-new-product-build-go-python-react-ts-next-gcp-cloudflare--a077dddd-3c92-46c5-8b02-4507214a11c1 ## About the Role Software Engineering, Python Programming/Scripting Language, GCP (Good Clinical Practices), Go Programming Language (Golang), Architectural Services, Concurrency, Python Programming/Scripting Language, Test Strategy, Test Design, Cloud Computing, * 10 plus years of professional software engineering experience with a definitive track record of full product lifecycle ownership. * Must have directly owned and shipped a B2B product or major platform component from "Zero-to-One." This does not need to be company-level ownership but must reflect real experience building from a blank slate. * Expert-level capability in Go or Python plus React and TypeScript, with deep architectural roots in React and the Next.js ecosystem. * Advanced proficiency in real-time systems and API design (GraphQL, WebSockets, or SSE) with a focus on conflict resolution and live data sync. * Deep cloud-native fluency, specifically in designing and operating services at scale within GCP and Cloudflare. * AI experience is a hard requirement. Candidates must have recent, production-level experience building AI features or internal tooling. Candidates must have owned the design of AI systems or tooling, not just integrated external APIs. * Concrete, shippable examples of building AI-driven features or internal AI scaffolding that go far beyond simple API integrations. * A "Systems Thinking" mindset that prioritizes long-term scalability, operational simplicity, and developer ergonomics over quick fixes. * Strong ownership of engineering quality, including defining and enforcing automated testing strategies (unit, integration, end-to-end) as part of system design. * Mastery of the browser platform, including component modeling, state management, and high-performance rendering. * Bonus Points: Deep familiarity with headless CMS architectures, structured content schemas (JSON/Portable Text), collaborative primitives like CRDTs, or a visible history of open-source contributions. ## Description * Lead hands-on architecture for critical parts of the platform while aligning with overall system direction, partnering closely with the Director and Principal Architect. * Own and drive major product and platform surfaces end-to-end, including design input, implementation, and production quality. * Remain deeply hands-on, writing production code while leading architectural direction and setting engineering standards. * Ship production code for a brand new product where systems, patterns, and standards are still being defined. * Build high-concurrency backend services in Go or Python to manage complex, distributed state synchronization across global regions. * Drive "Edge-first" engineering using Cloudflare Workers and Durable Objects to maintain sub-100ms latency targets in partnership with existing global infrastructure. * Establish and champion engineering standards for the team, including API design conventions, testing strategies, and cross-stack type-safety patterns. * Orchestrate heavy-duty workloads and multi-tenant infrastructure using GCP primitives like Spanner, Pub/Sub, and Cloud Run. * Build and own the integration layer between visual editing interfaces and underlying platform services, including custom extension models and SDKs. * Integrate production-grade AI scaffolding, such as RAG pipelines and streaming LLM orchestration, to redefine content automation. * Partner with the Principal Architect and product leadership to translate ambiguous visions into concrete architectural specs and phased delivery plans. * Mentor and elevate a lean, senior-heavy engineering team through architecture feedback, deep code reviews, and technical documentation.