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docker postgresql python kubernetes fastapi๐ Description
- Own architecture of core platform components from design to deployment
- Develop secure generative AI services using Python and modern frameworks
- Build high-performance, low-latency APIs and microservices for AI models
- Communicate changes and plans to cross-functional teams
- Bridge backend, infra, and operations for deployments
๐ฏ Requirements
- 5+ years as a senior software engineer with Python in production
- Gen AI apps, LLMs, vector databases (Pinecone/Weaviate/pgvector)
- AI tooling: Claude, Cursor, GitHub Copilot
- Microservices, RESTful APIs, cloud (AWS/GCP/Azure), Docker, Kubernetes
- FastAPI, Asyncio, PostgreSQL
- Collaborative, mentoring juniors; owns end-to-end delivery
๐ Benefits
- Generous PTO and company holidays
- Medical and dental insurance
- Paid parental leave (12 weeks)
- Fertility and family planning support
- Early cancer testing via Galleri
- Stock options and competitive compensation
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