Senior Python Backend Engineer

Albertbow — United States · Posted ~1 day ago

Senior Full-time Onsite $200000-$260000 base + equity

Skills

Python Backend development REST APIs Distributed systems Cloud architecture AWS GCP Azure PostgreSQL Redis Kafka RabbitMQ Docker Kubernetes CI/CD REST API FastAPI Django Flask

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Summary

A fast-growing technology organization is seeking a senior backend engineer to design scalable services and infrastructure for modern applications. The role focuses on Python development, distributed systems, cloud platforms, automation, and reliable production engineering.

Highlights

High-impact engineering role with strong compensation, equity opportunity, ownership of scalable systems, and exposure to advanced infrastructure challenges.

Description

Senior Python Engineer 📍 San Francisco, CA (Onsite – 5 days/week) Compensation: $200,000–$260,000 Base + Equity We’re partnering with a fast-growing AI infrastructure startup that’s building the developer platform powering the next generation of AI applications. They’re looking for a Senior Python Engineer to build scalable backend systems and AI infrastructure used by developers around the world. What You’ll Do Design, develop, and maintain scalable backend services in Python.Build APIs and infrastructure that power AI applications and LLM workflows.Develop distributed systems focused on reliability, scalability, and performance.Optimize backend services for latency, throughput, and observability.Collaborate closely with product and engineering teams to deliver production-ready features.Drive technical decisions and contribute to the overall architecture of the platform. Requirements 5+ years of professional software engineering experience.Strong expertise in Python.Experience building scalable backend systems and REST APIs.Solid understanding of distributed systems and cloud-native architectures.Experience with AWS, GCP, or Azure.Experience with PostgreSQL, Redis, and message queues (Kafka, RabbitMQ, or similar).Familiarity with Docker, Kubernetes, and CI/CD pipelines.Strong communication skills and experience working in fast-paced startup environments. Nice to Have Experience with AI/ML infrastructure or LLM applications.Familiarity with frameworks such as FastAPI, Django, or Flask.Experience integrating APIs from providers like OpenAI, Anthropic, or Google.Experience with vector databases, RAG pipelines, or model serving.Previous startup experience. Why Join? Competitive compensation ($200K–$260K base + equity).Build foundational infrastructure for cutting-edge AI products.Work alongside a world-class engineering team.High ownership, fast execution, and significant technical impact. 📩 If you’re interested—or know someone who might be—feel free to send me a DM to learn more!