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Senior Software Engineer (Full Stack)
Archer · San Jose, United States
About The Role
Join our team as a Senior Software Engineer (Full Stack) where you will develop, maintain, and scale user-facing web applications and core backend APIs. You will work closely with cross-functional teams to integrate AI models into the user experience and participate in the full development lifecycle. The ideal candidate will have a strong understanding of API design, relational databases, and modern frontend and backend languages. A background in aerospace, aviation, or autonomous systems is a plus.
- Développer et maintenir des applications web front-end réactives et des API backend robustes qui les soutiennent.
- Collaborer de manière transversale avec les équipes Backend, Data Science et DevOps pour intégrer les modèles d'IA dans l'expérience utilisateur.
- Participer à l'ensemble du cycle de développement, de la rédaction du code aux revues de code, en passant par le déploiement et la surveillance des fonctionnalités.
- Strong communication skills and a collaborative mindset to thrive in a fast-paced team environment
- Good understanding of API design (REST/GraphQL), relational databases (e.g., PostgreSQL), and caching layers (e.g., Redis)
- Experience handling real-time data on the frontend (e.g., WebSockets, SSE) and managing application state
- Solid proficiency in modern frontend frameworks (e.g., React, Vue, TypeScript) and backend languages (e.g., Python, Node.js, Rust, Go)
- BS/MS degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience)
- Familiarity with containerization (Docker) and modern development workflows (Git)
- 3+ years of professional software engineering experience across the full stack
- Able to leverage AI coding assistants to increase velocity while fully understanding and taking ownership of all code you commit
- Experience with web-based mapping and visualization libraries (e.g., Mapbox, MapLibre)
- Experience with real-time audio consumption workflows, including Opus decoding, browser audio rendering APIs, and managing multi-channel live audio streams via LiveKit/WebRTC
- Familiarity with cloud platforms (AWS, GCP) and basic Kubernetes concepts
- Exposure to event-driven architectures or streaming systems
- A deep interest or background in aerospace, aviation, or autonomous systems
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