Hybrid Senior Full Stack Python Engineer

at RaYnmaker

• Job title: Senior Full Stack Python Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $130,000 - $150,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Distributed Systems, Docker, EC2, Kafka, Kubernetes, Microservices, NoSQL, Python, React, SQL, TypeScript
• Location requirements: Hybrid, Austin, United States

About the role

• Senior Full Stack Python Engineer in a fast-growing AI startup, developing core real-time services for an AI-driven sales platform. Focused on architecture, development, and production-grade systems.

Responsibilities

• Architect, build, and operate Python/FastAPI microservices that power real-time customer interactions.
• Develop scalable, event-driven systems for voice, chat, scheduling, payments, and other operational flows.
• Own end-to-end production services including availability, performance, reliability, and observability.
• Build and maintain large-scale, multi-tenant data pipelines supporting both transactional and ML-driven use cases.
• Build high-quality front-end experiences using React and TypeScript.
• Create internal dashboards, configuration tools, and admin consoles for platform operations.
• Integrate real-time UI elements using WebSockets, streaming APIs, and live data updates.
• Design and operate distributed systems with a focus on real-time performance (voice, streaming, WebSockets).
• Implement event-driven workflows using Kafka, Kinesis, SQS, or similar technologies.
• Deploy, scale, and monitor workloads on AWS (EKS, EC2, ALB, IAM, VPC, RDS, S3).
• Use Kubernetes and Docker for container orchestration and service reliability.
• Work alongside ML teams to expose LLM- and RAG-powered services into production systems.
• Integrate with vector databases, agent frameworks, and LangChain/LangGraph pipelines.
• Build API endpoints and backend flows that leverage AI capabilities safely and efficiently.
• Participate in on-call rotations and lead incident response for platform services.
• Implement strong observability: logs, metrics, tracing, dashboards, alerts.
• Own release management, versioning, CI/CD workflows, and deployment automation.
• Continuously improve system reliability, performance, and scalability.

Requirements

• 10+ years of professional software engineering experience.
• Expert-level Python engineering skills.
• Expert-level TypeScript and React full stack development experience.
• Deep experience with FastAPI and microservices architecture.
• Strong background in distributed systems and large-scale pipelines.
• Real-time systems expertise: voice, streaming, WebSockets, live event flows.
• Exposure to the modern AI stack (RAG, vector DBs, LLMs, LangChain/LangGraph).
• Experience building multi-tenant SaaS platforms.
• Strong understanding of event-driven systems (Kafka, Kinesis, SQS).
• AWS cloud experience: EKS, EC2, ALB, IAM, RDS, S3, VPC.
• Proficiency with Kubernetes & Docker.
• Experience with observability tooling and incident response.
• Strong SQL and NoSQL database fundamentals.