Senior Full-Stack Engineer (Python + Angular)

Senior Full-Stack Engineer (Python + Angular) Full-Time • 8–10 Years Experience • Remote / Hybrid About the Role We are looking for a Senior Full-Stack Engineer with strong Python and Angular expertise to join a fast-moving product team. You will work on a complex, polyglot application that spans a Python/FastAPI backend, Angular 19 frontend, AI/LLM-powered features, Electron-based desktop packaging, and a fully automated AWS CI/CD pipeline. This is a hands-on senior role with real ownership — you will be making architectural decisions, driving a Java-to-Python backend migration, and evolving production AI features from day one. Responsibilities • Design and build Python/FastAPI backend services with async patterns, SQLAlchemy ORM, and multi-database support (MySQL, PostgreSQL, SQLite, MSSQL) • Develop and maintain Angular 19 frontend features using TypeScript, Material Design, PrimeNG, Chart.js, and rich text/code editor components • Lead migration of existing Java/Spring Boot services to Python/FastAPI — replicating existing functionality, data layers, and authentication • Build and evolve LLM/RAG pipeline features — integrating multi-model LLM providers, vector search (Qdrant), and semantic embeddings • Own the Electron desktop packaging pipeline targeting macOS, Windows, and Linux, including code signing and notarization • Maintain Node.js build tooling and scripting for the full build and release pipeline • Manage AWS infrastructure including CI/CD pipelines (CodeBuild), secrets management, S3 storage, and observability (CloudWatch) • Write comprehensive Pytest test coverage and enforce code quality standards (ruff, mypy, pylint) • Design, version, and document RESTful APIs across multiple services Required Skills & Experience • 8+ years of overall software engineering experience • Strong Python — FastAPI, async/await, SQLAlchemy, asyncio, httpx, uvicorn, pytest • Strong Angular — Angular 17+, TypeScript, RxJS, Material Design, component libraries • Solid SQL database experience — MySQL, PostgreSQL, SQLite, and/or MSSQL • LLM/AI integration — experience with OpenAI API or similar, RAG pipelines, vector databases • Electron — building and packaging cross-platform desktop applications • Node.js — build scripting and tooling • AWS — CodeBuild, S3, Secrets Manager, CloudWatch • Docker — containerised service development and deployment • Git-based workflows and CI/CD pipeline management Nice to Have • Experience with load testing tools (e.g. Apache JMeter) • Knowledge of payment messaging protocols (e.g. ISO 8583) • macOS/Windows code signing — Apple Developer ID notarization, certificate-based signing tools • Linux desktop packaging — AppImage, deb, rpm • PowerShell scripting for Windows CI environments • Java/Spring Boot familiarity — for reading legacy code during migration You Will Thrive Here If You • Are comfortable owning a full build pipeline end-to-end — from code commit to signed, shipped installer • Can make confident architectural decisions on service design, async patterns, and API contracts • Enjoy working across a polyglot stack — Python, TypeScript, shell scripts, and cloud config in the same day • Want to work on real AI features — not just integrate APIs, but tune and evolve retrieval pipelines and multi-model workflows • Write clean, tested, production-ready code and hold a high bar for quality If you are a senior engineer who loves working at the intersection of AI, cloud infrastructure, and cross-platform desktop applications — we would love to hear from you.