Senior Full Stack Python Engineer

Raynmaker; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A growing AI-based company in Austin is seeking a Senior Full Stack Python Engineer to design and operate Python/FastAPI microservices while building high-quality front-end experiences using React and TypeScript. The ideal candidate will have over 10 years of software engineering experience, expertise in AWS cloud services, and a strong understanding of distributed systems. You will work in a collaborative environment focused on real-time performance and AI integrations. Join us in driving innovative solutions for SMBs.

Qualifications

• 10+ years of professional software engineering experience.
• Strong understanding of event-driven systems.
• Experience building multi-tenant SaaS platforms.

Responsibilities

• Architect, build, and operate Python/FastAPI microservices.
• Build high-quality front-end experiences using React and TypeScript.
• Design and operate distributed systems with real-time performance.
• Work alongside ML teams for platform integration.

Skills

Python engineering skills

TypeScript and React full stack development

FastAPI and microservices architecture

Distributed systems

Real-time systems expertise

AWS cloud experience

Kubernetes & Docker

SQL and NoSQL database fundamentals

Tools

Kafka

Kinesis

SQS

Terraform

Job description

Senior Full Stack Python Engineer at Raynmaker.

Overview

Raynmaker.ai is the AI-native sales engine purpose-built for small and mid-sized businesses. We empower local and franchise businesses to compete with enterprise-level capabilities—through AI-driven lead targeting, next-best-action automation, and intuitive workflows that help them close more deals, faster. We’re a venture-backed, fast-growing team committed to helping SMBs grow with confidence.

Key Responsibilities

Platform & Backend Engineering

• 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.

Full Stack Development

• 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.

Real-Time, Distributed & Cloud Systems

• 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.

AI Platform Integration

• 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.

Operational Excellence & DevOps Practices

• 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.

Required Skills

• 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.

Nice to Have

• Experience with third-party integrations (Stripe, Calendars, Toast, POS/CRM systems).
• Security foundations: OAuth, JWT, RBAC, secure API design.
• Experience operationalizing AI systems in production.
• Startup or rapid-growth company experience.
• Infrastructure-as-Code (Terraform) experience.
• Building/maintaining modern CI/CD pipelines.

We are committed to fostering a diverse, inclusive, and equitable workplace where all individuals are valued, respected, and empowered, regardless of their background, identity, or beliefs. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.