Role Description You'll work across our web app end to end, from the Next.js front end through to the FastAPI serving layer and data platform on Google Cloud. The app pulls large volumes of Amazon data through the Selling Partner API (SP-API) and Advertising API, stores it in BigQuery and Cloud SQL, and surfaces it through dashboards and scheduled reports. Your work will span new features, Amazon data integrations, the reporting pipeline, and keeping the whole thing fast and reliable under heavy load. The backend is mainly Python, so solid working Python is required. You're encouraged to use Claude Code and other artificial intelligence (AI) tools to move faster. What you'll do - Build and ship features across the stack: Next.js dashboards, FastAPI endpoints, and the Cloud SQL (PostgreSQL) data layer behind them. - Work with Amazon data integrations: SP-API and Advertising API report requests, polling lifecycles, token refresh, rate-limit handling, and mapping responses into our schemas. - Maintain and extend the reporting pipeline: scheduled report generation, batch processing through Cloud Tasks, and the running, queued, completed, and failed states around long-running jobs. - Optimise data-heavy frontend views (schedule lists, vendor, seller, and catalogue tables): list virtualisation, pagination, code-splitting, render performance, and TanStack React Query cache tuning. - Tune the serving platform: Cloud Run cold starts, concurrency, and minimum instances, hosting and content delivery network (CDN), and the trade-off between latency and cost. - Optimise the read path in Structured Query Language (SQL) across BigQuery and PostgreSQL, and help evolve the schema as we migrate workloads. - Establish performance measurement (Core Web Vitals, application programming interface (API) latency, Cloud Run metrics) and act on the real bottlenecks rather than assumptions. - Write clean, well-tested code: unit tests on service logic, integration tests on endpoints. Our stack - Frontend: Next.js 14 (React 18), TypeScript, Tailwind CSS, TanStack React Query, Firebase Auth and Hosting. - Backend: FastAPI (Python), async request handling and background tasks, BigQuery for reads, Cloud SQL (PostgreSQL) with Alembic migrations. - Platform: Google Cloud (Cloud Run, Cloud Tasks, Cloud Scheduler), Docker. What you need - Strong React and Next.js experience, comfortable building features and doing real performance work (rendering, bundle size, data fetching, and caching), not just one or the other. - Solid backend skills in Python (FastAPI or similar): building, profiling, and optimising APIs, and comfort with asynchronous code. - Experience integrating third-party APIs: authentication, pagination, polling, rate limits, and handling unreliable responses. - SQL competence to build and optimise the read path. BigQuery is a strong plus. - Comfortable on a serverless cloud platform and able to reason about latency and cost. - A measure-first approach: you profile, instrument, and prove improvements. - Hands-on experience with Docker, Git, and GitHub. Nice to have - Hands-on experience with a cloud platform, preferably Google Cloud. - Familiarity with the Amazon Selling Partner API (SP-API) or marketplace data. - Familiarity with web app hosting. - Familiarity with observability tooling. - Experience optimising cloud cost without sacrificing performance. - Ability to optimise an existing codebase. - Systems thinking: you see how inputs connect to outputs and build things that are configurable, not static. - A bias toward simple, maintainable solutions: you'd rather build something a non-technical person can update than something clever that only you understand. - Strong attention to detail. - Fluent written English: you'll write standard operating procedures (SOPs), process docs, and methodology notes. Work schedule - Type: Contract - Hours: 40 hours per week - Shift: Day Shift - 7:00 AM - 4:00 PM PH Time - Days: Monday to Friday (Australian Public Holidays observed) - Competitive salary, commensurate with experience - Fully remote working environment - Paid Time Off - Comprehensive onboarding, training, and mentorship from Amazon experts and the founding team - Private Health Insurance (after 12 months) - Career growth opportunities as the agency scales - Work alongside a skilled, collaborative international team Our recruitment process - Application Review - CV and experience screening - Online Assessment - a range of personality, comprehension and abstract questions - Recorded Video Interview - short async video response to set questions - Trial Task - a practical coding task tied to our stack (Next.js and/or FastAPI) to assess real-world capability - Final Interview - with a senior team member or founder - Offer / Talent Pool - successful candidates may be placed in our talent pool and contacted as roles become available Equal opportunity RocketAMS is committed to building a diverse and inclusive team. We welcome applications from candidates of all backgrounds, and all hiring decisions are made solely on the basis of merit, skills, and cultural contribution. Why Join Us? - Work with ex-Amazonians and industry experts. - Fast-growing agency with opportunities to lead and grow. - Flexible, remote-friendly work environment.

• Design, build, and operate backend services that run reliably at scale — yours from first commit through production. • Work with distributed systems, concurrency, and asynchronous processing — and the failure modes that come with them. • Profile and tune for performance and efficiency, where the right data structure or a single removed bottleneck makes the difference. • Take an ambiguous production symptom and reason your way to the root cause. • Integrate with caching, streaming, and data-storage systems — and instrument your services so they stay debuggable when something breaks. • Ship in small, reviewable increments through automated pipelines, and leave the code clearer than you found it.

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