Full-Stack Engineer – Day Shift

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Develop and deploy features throughout the entire stack: Next.js dashboards, FastAPI endpoints, and the Cloud SQL (PostgreSQL) data layer that supports them.

• Collaborate with Amazon data integrations: SP-API and Advertising API report requests, manage polling lifecycles, token refresh, handle rate limits, and map responses into our schemas.

• Oversee and enhance the reporting pipeline: scheduled report generation, batch processing using Cloud Tasks, and manage the states of long-running jobs, including running, queued, completed, and failed.

• Improve data-intensive frontend views (schedule lists, vendor, seller, and catalogue tables): implementing list virtualization, pagination, code-splitting, enhancing render performance, and tuning the TanStack React Query cache.

• Optimize the serving platform: address Cloud Run cold starts, concurrency, and minimum instances, while balancing hosting and content delivery network (CDN) considerations with latency and cost.

• Refine the read path in Structured Query Language (SQL) across BigQuery and PostgreSQL, aiding in schema evolution as workloads are migrated.

• Implement performance measurement (Core Web Vitals, application programming interface (API) latency, Cloud Run metrics) and address actual bottlenecks instead of relying on assumptions.

• Produce clean, well-tested code: including unit tests for service logic and integration tests for endpoints.

⛳️ Requirements

• Proficient in React and Next.js, capable of building features and executing real performance enhancements (rendering, bundle size, data fetching, and caching), not limited to one aspect.

• Strong backend proficiency in Python (FastAPI or similar): skilled in building, profiling, and optimizing APIs, with a comfort level in asynchronous code.

• Experience with integrating third-party APIs: managing authentication, pagination, polling, rate limits, and handling unreliable responses.

• Proficient in SQL for constructing and optimizing the read path, with BigQuery experience being a significant advantage.

• Comfortable working on a serverless cloud platform, able to analyze latency and cost implications.

• A measure-first mindset: you profile, instrument, and validate improvements.

• Practical experience with Docker, Git, and GitHub.

• **Nice to have**

• Practical experience with a cloud platform, preferably Google Cloud.

• Familiarity with the Amazon Selling Partner API (SP-API) or marketplace data.

• Understanding of web app hosting.

• Knowledge of observability tools.

• Experience in optimizing cloud costs without compromising performance.

• Capability to enhance an existing codebase.

• Systems thinking: you recognize how inputs relate to outputs and create configurable solutions rather than static ones.

• A preference for straightforward, maintainable solutions: you favor creating something a non-technical person can update over something complex that only you understand.

• Strong attention to detail.

• Proficient in written English: you will produce standard operating procedures (SOPs), process documentation, and methodology notes.

🏝️ Benefits

• Competitive salary, aligned with experience

• Fully remote working arrangement

• Paid Time Off

• Comprehensive onboarding, training, and mentorship from Amazon experts as well as the founding team

• Private Health Insurance (after 12 months)

• Opportunities for career advancement as the agency grows

• Collaborate with a skilled, cooperative international team