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Senior Python Developer (Backend Architecture) Level: Senior Experience: 8 10 years Function: Backend Engineering Architecture Remote contract based Requirements Role Overview As Senior Python Developer, you will own the backend architecture of the platform the scalable, reliable foundation on which agents are created, deployed, and run. You will design the core services, data layers, and execution infrastructure that make the Agent OS robust at scale. Key Responsibilities Design and own the backend architecture services, APIs, data models, and the agent execution / runtime engine. Build scalable, secure, high-performance Python services that power agent deployment and runtime. Architect the systems that manage the full agent lifecycle: creation, versioning, deployment, scaling, and monitoring. Design asynchronous, event-driven, and queue-based systems for reliable agent execution at scale. Build robust integration layers connecting tools, connectors, databases, and the AI / ML layer. Define and uphold standards for code quality, testing, observability, and security across the backend. Optimize the platform infrastructure for performance, reliability, cost, and scalability. Required Skills Experience 8 10 years of backend development with deep, expert-level Python. Hands-on experience with the backend of agent-builder / Agent OS platforms the infrastructure that lets users build, deploy, and run AI agents reliably at scale. Strong experience designing distributed systems and microservices architecture. Expertise with modern Python frameworks (FastAPI, Django, or Flask) and async programming (asyncio). Solid API design skills (REST / GraphQL) and experience with message queues / event systems (Kafka, RabbitMQ, Celery, or similar). Solid database design across SQL and NoSQL, with experience in caching and vector stores. Experience with containers and orchestration (Docker, Kubernetes) and cloud platforms (AWS / Azure / GCP). Strong grasp of system design, scalability, security, and production reliability. Nice to Have Familiarity with LLM orchestration, RAG pipelines, or model-serving infrastructure. Experience with multi-tenant SaaS architecture and infrastructure-as-code. Exposure to observability and tracing for distributed, long-running workloads Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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